Instructions to use Diego2703/tfg_ft_cuant with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Diego2703/tfg_ft_cuant with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Diego2703/tfg_ft_cuant", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Diego2703/tfg_ft_cuant", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- de3d515370bdd99217be8486e38dca3f58c45b951a5d02cbfbe35ef62ab02cdf
- Size of remote file:
- 10.5 MB
- SHA256:
- 3ee8746f75300bd21fced16093893e714fcdc0411ea86bbf391d0e00dc6dc1d1
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