Instructions to use inshining/bigData_w9 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use inshining/bigData_w9 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("inshining/bigData_w9") model = AutoModelForSeq2SeqLM.from_pretrained("inshining/bigData_w9", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from inshining/bigData_w9: direct link, hf CLI and curl.
- Browser
- Download file 558 MB
-
https://huggingface.co/inshining/bigData_w9/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://inshining/bigData_w9/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/inshining/bigData_w9/resolve/main/pytorch_model.bin
558 MB
- Xet hash:
- c94efb8275c154971cd3172eff561cf36620e4b3c2ed6156f4377fe4e66a3478
- Size of remote file:
- 558 MB
- SHA256:
- ae90e6cbea01657bff4dc20bfe86814eba18a54b430ac76431d1d28beb7d3069
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