Instructions to use tjayant/bloom-560m with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tjayant/bloom-560m with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="tjayant/bloom-560m")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("tjayant/bloom-560m") model = AutoModelForSequenceClassification.from_pretrained("tjayant/bloom-560m") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f30570a0444192028de719f24e40248b41a2a9232b8dfd8558d1944b0da1641b
- Size of remote file:
- 14.5 MB
- SHA256:
- ddccca19e6cee347f93af7c3743c679a1556d7dfa6e0f60f8b320acdf7d6f446
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