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")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("SABE-SENCE/SABE_ENCUESTAS") model = AutoModelForSequenceClassification.from_pretrained("SABE-SENCE/SABE_ENCUESTAS") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:a6849f43944f03e972fd40dac8a19c649abeebb8f2702c43c311c55c0205b5e2
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size 440587824
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