Text Classification
Transformers
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use zgurney/patent-classification-gpu with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use zgurney/patent-classification-gpu with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="zgurney/patent-classification-gpu")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("zgurney/patent-classification-gpu") model = AutoModelForSequenceClassification.from_pretrained("zgurney/patent-classification-gpu", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from zgurney/patent-classification-gpu: direct link, hf CLI and curl.
- Browser
- Download file 5.37 kB
-
https://huggingface.co/zgurney/patent-classification-gpu/resolve/main/training_args.bin
- Command line
-
hf download hf://zgurney/patent-classification-gpu/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/zgurney/patent-classification-gpu/resolve/main/training_args.bin
5.37 kB
- Xet hash:
- b0ab4474a6b6a0cbea480ccc643e883a6e40b3983bcb2c2600cb21075b40021f
- Size of remote file:
- 5.37 kB
- SHA256:
- 692248b74c4aea3cb8866dcb8863dc74b237aa1e1541c8df4e2d82fb4e0a1fb9
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