Instructions to use ahmedoumar/my_ner_ARBERTv2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ahmedoumar/my_ner_ARBERTv2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="ahmedoumar/my_ner_ARBERTv2")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("ahmedoumar/my_ner_ARBERTv2") model = AutoModelForTokenClassification.from_pretrained("ahmedoumar/my_ner_ARBERTv2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7ccbe85540067e332af1ba2be4f5fde2f8579aa9ee25cbc17f9666461184d1b2
- Size of remote file:
- 649 MB
- SHA256:
- 705582dce469a7147d9a99164162c396b78ec2ffe7c9b0c846cacdb5fbba6fab
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