Instructions to use yadagiriannepaka/BERT_MODELHC3File.pth with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use yadagiriannepaka/BERT_MODELHC3File.pth with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="yadagiriannepaka/BERT_MODELHC3File.pth")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("yadagiriannepaka/BERT_MODELHC3File.pth") model = AutoModelForSequenceClassification.from_pretrained("yadagiriannepaka/BERT_MODELHC3File.pth", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d78fefd8be5c9b468d25dda5e9acc5323f9c82eef720fd68740296f6ed6f00c2
- Size of remote file:
- 438 MB
- SHA256:
- 6d0fea3a965ca350c38fb0baf72e1a25260b534c6528ee499c50f0394fdc808b
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