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:
- 39ce8d6a46aa9f7b029bb80e08fdc2eb507f94570fed5d68e5a58aed18477ecf
- Size of remote file:
- 3.96 kB
- SHA256:
- 0b1df39d278c1e745d40dbd52bbfabaeab51fc68e7ae44f1e1f607e1e77324cd
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