Instructions to use eclec/patentClassfication2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use eclec/patentClassfication2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="eclec/patentClassfication2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("eclec/patentClassfication2") model = AutoModelForSequenceClassification.from_pretrained("eclec/patentClassfication2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3c0a64f372767b2cee8f42172289b1a1e6cc0cc23f656c025fa9d8f2a99d1694
- Size of remote file:
- 440 MB
- SHA256:
- 9a4c5e3ef8cdd918f2abe84953a75d1a1387e9f1fc5b3d7eb5553f88919141f9
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