Instructions to use bigai/GS1-4B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bigai/GS1-4B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="bigai/GS1-4B", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("bigai/GS1-4B", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from bigai/GS1-4B: direct link, hf CLI and curl.
- Browser
- Download file 20 MB
-
https://huggingface.co/bigai/GS1-4B/resolve/main/tokenizer.json
- Command line
-
hf download hf://bigai/GS1-4B/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/bigai/GS1-4B/resolve/main/tokenizer.json
20 MB
- Xet hash:
- 863d75c76b120ad5026b2e4311043171307a7f0a9ac67c5c9b25834a0353b80e
- Size of remote file:
- 20 MB
- SHA256:
- 0579ce9ee8ce5d0c244b069842aac4f8e1e65babd8ebfe4d98fe4fbf406831f1
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