Instructions to use SABE-SENCE/SABE_ENCUESTAS with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SABE-SENCE/SABE_ENCUESTAS with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="SABE-SENCE/SABE_ENCUESTAS")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("SABE-SENCE/SABE_ENCUESTAS") model = AutoModelForSequenceClassification.from_pretrained("SABE-SENCE/SABE_ENCUESTAS", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from SABE-SENCE/SABE_ENCUESTAS: direct link, hf CLI and curl.
- Browser
- Download file 441 MB
-
https://huggingface.co/SABE-SENCE/SABE_ENCUESTAS/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://SABE-SENCE/SABE_ENCUESTAS/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/SABE-SENCE/SABE_ENCUESTAS/resolve/main/pytorch_model.bin
441 MB
- Xet hash:
- d34de1f7dfb2fc42d5efde3cf9afb11207cea6adefbc82f8671393a5079f8781
- Size of remote file:
- 441 MB
- SHA256:
- be39986a18c9c0e8d72102aa39b421b8845941086493ce8359eea92dbe3713ec
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