Instructions to use ThuyNT03/SOMD-train-scibert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ThuyNT03/SOMD-train-scibert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="ThuyNT03/SOMD-train-scibert")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("ThuyNT03/SOMD-train-scibert") model = AutoModelForTokenClassification.from_pretrained("ThuyNT03/SOMD-train-scibert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from ThuyNT03/SOMD-train-scibert: direct link, hf CLI and curl.
- Browser
- Download file 4.73 kB
-
https://huggingface.co/ThuyNT03/SOMD-train-scibert/resolve/main/training_args.bin
- Command line
-
hf download hf://ThuyNT03/SOMD-train-scibert/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/ThuyNT03/SOMD-train-scibert/resolve/main/training_args.bin
4.73 kB
- Xet hash:
- 280e3b0b98b66cab98f651d34271379e37549f5487f35a3649cdc51a7fa4853b
- Size of remote file:
- 4.73 kB
- SHA256:
- 9cacd1865b6e969c1cb78f3c1171170e422f6a16addc400ef8b6660aaa12aad2
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