Instructions to use abcdda/entity_extract with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use abcdda/entity_extract with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="abcdda/entity_extract")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("abcdda/entity_extract") model = AutoModelForTokenClassification.from_pretrained("abcdda/entity_extract", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from abcdda/entity_extract: direct link, hf CLI and curl.
- Browser
- Download file 3.31 kB
-
https://huggingface.co/abcdda/entity_extract/resolve/refs%2Fpr%2F1/training_args.bin
- Command line
-
hf download hf://abcdda/entity_extract@refs/pr/1/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/abcdda/entity_extract/resolve/refs%2Fpr%2F1/training_args.bin
3.31 kB
- Xet hash:
- 52d8c922f9dcd0e1c9b78621ff40ee4ced54659a28bd8c2804741ff05182ea0e
- Size of remote file:
- 3.31 kB
- SHA256:
- e5ccb58764823535d288fd5e4ffcb5eb9ab9a4788bcf9321b0e8e6113fd7e62c
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