Instructions to use mohammad748/distilbert-conll2003-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mohammad748/distilbert-conll2003-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="mohammad748/distilbert-conll2003-ner")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("mohammad748/distilbert-conll2003-ner") model = AutoModelForTokenClassification.from_pretrained("mohammad748/distilbert-conll2003-ner", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from mohammad748/distilbert-conll2003-ner: direct link, hf CLI and curl.
- Browser
- Download file 5.2 kB
-
https://huggingface.co/mohammad748/distilbert-conll2003-ner/resolve/main/training_args.bin
- Command line
-
hf download hf://mohammad748/distilbert-conll2003-ner/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/mohammad748/distilbert-conll2003-ner/resolve/main/training_args.bin
5.2 kB
- Xet hash:
- 6d2490af4da690214a668cc7e2f0b087d5972e9535f795a91a7caed5637f106e
- Size of remote file:
- 5.2 kB
- SHA256:
- 0423a4d9e567d1a7481433e4819a8ebba01b18c3d2be5a6a1631f2f750340b97
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