Instructions to use CHIPP-AI/model1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CHIPP-AI/model1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="CHIPP-AI/model1")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("CHIPP-AI/model1") model = AutoModelForSequenceClassification.from_pretrained("CHIPP-AI/model1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4e219b77d638490227993c4be68f7dae966b83e96f096e39c515d1d368fa11ab
- Size of remote file:
- 738 MB
- SHA256:
- 6c789e94f15be4060dc2e13c3b37bec277371f530888769c4ab3601f9954905e
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