Instructions to use sameearif88/nlp-p4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sameearif88/nlp-p4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="sameearif88/nlp-p4")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("sameearif88/nlp-p4") model = AutoModelForTokenClassification.from_pretrained("sameearif88/nlp-p4", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from sameearif88/nlp-p4: direct link, hf CLI and curl.
- Browser
- Download file 266 MB
-
https://huggingface.co/sameearif88/nlp-p4/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://sameearif88/nlp-p4/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/sameearif88/nlp-p4/resolve/main/pytorch_model.bin
266 MB
- Xet hash:
- 90d917eea21264822ebfbf9f28660aff28838610d4cf1f984532ddbacf938b3f
- Size of remote file:
- 266 MB
- SHA256:
- ab0567cdc2269009fa8e73ad5dda930f987afd204171745a30a585cf4b61aae8
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