Instructions to use CHIPP-AI/model2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CHIPP-AI/model2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="CHIPP-AI/model2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("CHIPP-AI/model2") model = AutoModelForSequenceClassification.from_pretrained("CHIPP-AI/model2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 503c3444151f3dd22281be865dfcb698c6c3a3047796ccdb7a90cf3b5401142c
- Size of remote file:
- 738 MB
- SHA256:
- a55af42514e91fb534a45aa9ca85accd413a53fb5b2270fbbf79def4e72a880e
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