Instructions to use ISEGURA/roberta-base_edos_b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ISEGURA/roberta-base_edos_b with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ISEGURA/roberta-base_edos_b")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ISEGURA/roberta-base_edos_b") model = AutoModelForSequenceClassification.from_pretrained("ISEGURA/roberta-base_edos_b") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
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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 sha256:7de826ed24a914bc6836b0aa66c51d69f53605613810704c0a0d1bae79b1855e
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size 498623176
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