Fill-Mask
Transformers
Safetensors
Minangkabau
Indonesian
English
xlm-roberta
sentiment-analysis
code-mixing
explainable-ai
xai
low-resource-language
Instructions to use bimobirra/explainable-xlmr-code-mixed-low-resource-lang with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bimobirra/explainable-xlmr-code-mixed-low-resource-lang with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="bimobirra/explainable-xlmr-code-mixed-low-resource-lang")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("bimobirra/explainable-xlmr-code-mixed-low-resource-lang") model = AutoModelForMaskedLM.from_pretrained("bimobirra/explainable-xlmr-code-mixed-low-resource-lang", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a41b78eef5eca2bc3dd3811eb105ca557ae3f4ccdbe70eff41e1a045b5af8cb7
- Size of remote file:
- 5.2 kB
- SHA256:
- d2b2b44028d935003adf7589a435b49b23689c0b9005710d97e96b192b65aaf4
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