Instructions to use bbaaaa/myfork with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bbaaaa/myfork with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="bbaaaa/myfork")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("bbaaaa/myfork") model = AutoModel.from_pretrained("bbaaaa/myfork") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 088867e91c5dbf54e1c8737cbe58d4d785173cacacdb9651cfb65c2858962d99
- Size of remote file:
- 558 MB
- SHA256:
- f3164d4f102798fb6f9cca23d2b952d5251d2011195183f42725809a9479e798
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