Instructions to use eclec/patentClassfication3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use eclec/patentClassfication3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="eclec/patentClassfication3")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("eclec/patentClassfication3") model = AutoModelForSequenceClassification.from_pretrained("eclec/patentClassfication3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from eclec/patentClassfication3: direct link, hf CLI and curl.
- Browser
- Download file 3.96 kB
-
https://huggingface.co/eclec/patentClassfication3/resolve/main/training_args.bin
- Command line
-
hf download hf://eclec/patentClassfication3/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/eclec/patentClassfication3/resolve/main/training_args.bin
3.96 kB
- Xet hash:
- c76496c21b597610e1eff6f4e0ccd916d4c11d887c03912a2401ca0d6e84aa67
- Size of remote file:
- 3.96 kB
- SHA256:
- 1a69f4862d6f57d945f8b7eba83c7528809dec37da78d9f992a5397c50c65955
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