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:
- 4dc0b6d810df092fc37bf0c769278538c8bd80cc0386a6f98f1d1a142dc8feb4
- Size of remote file:
- 3.96 kB
- SHA256:
- 36ded58ba0eab91e727b8226e221e696b2ab49685def0fb1b97a72c4e278a9aa
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