Instructions to use WhiteRoomProdigy/amicus-ner-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WhiteRoomProdigy/amicus-ner-v1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="WhiteRoomProdigy/amicus-ner-v1")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("WhiteRoomProdigy/amicus-ner-v1") model = AutoModelForTokenClassification.from_pretrained("WhiteRoomProdigy/amicus-ner-v1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download checkpoint-35/optimizer.pt from WhiteRoomProdigy/amicus-ner-v1: direct link, hf CLI and curl.
- Browser
- Download file 871 MB
-
https://huggingface.co/WhiteRoomProdigy/amicus-ner-v1/resolve/main/checkpoint-35/optimizer.pt
- Command line
-
hf download hf://WhiteRoomProdigy/amicus-ner-v1/checkpoint-35/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/WhiteRoomProdigy/amicus-ner-v1/resolve/main/checkpoint-35/optimizer.pt
871 MB
- Xet hash:
- baff42fe0e096eb2b4cb45670ec43e3911401fdd8d00b37846f4fc9c0bf7b570
- Size of remote file:
- 871 MB
- SHA256:
- 29e3c7a3e1dde6182175d05fb1ba794db97698e1dfb13b17adbeb800fa6ac5b7
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