Instructions to use saburbutt/xlnet_large_tweetqa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use saburbutt/xlnet_large_tweetqa with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="saburbutt/xlnet_large_tweetqa")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("saburbutt/xlnet_large_tweetqa") model = AutoModelForQuestionAnswering.from_pretrained("saburbutt/xlnet_large_tweetqa", device_map="auto") - Notebooks
- Google Colab
- Kaggle
version1
Browse files- config.json +39 -0
- pytorch_model.bin +3 -0
- special_tokens_map.json +1 -0
- spiece.model +0 -0
- tokenizer_config.json +1 -0
config.json
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{
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"_name_or_path": "xlnet-large-cased",
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"architectures": [
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"XLNetForQuestionAnswering"
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],
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"attn_type": "bi",
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"bi_data": false,
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"bos_token_id": 1,
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"clamp_len": -1,
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"d_head": 64,
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"d_inner": 4096,
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"d_model": 1024,
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"dropout": 0.1,
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"end_n_top": 5,
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"eos_token_id": 2,
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"ff_activation": "gelu",
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"initializer_range": 0.02,
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"layer_norm_eps": 1e-12,
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"mem_len": null,
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"model_type": "xlnet",
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"n_head": 16,
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"n_layer": 24,
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"pad_token_id": 5,
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"reuse_len": null,
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"same_length": false,
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"start_n_top": 5,
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"summary_activation": "tanh",
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"summary_last_dropout": 0.1,
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"summary_type": "last",
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"summary_use_proj": true,
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"task_specific_params": {
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"text-generation": {
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"do_sample": true,
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"max_length": 250
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}
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},
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"untie_r": true,
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"vocab_size": 32000
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}
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:fe836f232d397848eeded585b5110b410f7718ffb7295419c4d7be374d18b822
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size 1458038212
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special_tokens_map.json
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{"bos_token": "<s>", "eos_token": "</s>", "unk_token": "<unk>", "sep_token": "<sep>", "pad_token": "<pad>", "cls_token": "<cls>", "mask_token": "<mask>", "additional_special_tokens": ["<eop>", "<eod>"]}
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spiece.model
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Binary file (798 kB). View file
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tokenizer_config.json
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{"do_lower_case": false, "remove_space": true, "keep_accents": false, "bos_token": "<s>", "eos_token": "</s>", "unk_token": "<unk>", "sep_token": "<sep>", "pad_token": "<pad>", "cls_token": "<cls>", "mask_token": "<mask>", "additional_special_tokens": ["<eop>", "<eod>"], "name_or_path": "xlnet-large-cased"}
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