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 training_args.bin from sameearif88/nlp-p4: direct link, hf CLI and curl.
- Browser
- Download file 3.58 kB
-
https://huggingface.co/sameearif88/nlp-p4/resolve/main/training_args.bin
- Command line
-
hf download hf://sameearif88/nlp-p4/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/sameearif88/nlp-p4/resolve/main/training_args.bin
3.58 kB
- Xet hash:
- cd03502512267ec8cbdd28bac275f0cbeda054ab79f2314c4db873b61fd9983a
- Size of remote file:
- 3.58 kB
- SHA256:
- bcd86f2dee8964f02089dde2be729ca48968acd588c2c4c058a7a6320e25f1ae
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