Instructions to use cuadron11/modelBeto with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cuadron11/modelBeto with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="cuadron11/modelBeto")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("cuadron11/modelBeto") model = AutoModelForTokenClassification.from_pretrained("cuadron11/modelBeto", device_map="auto") - 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:d117fdf95a87c07a3847e37520a6804bd3313785564a58155b527ad6dba81a8a
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size 437084060
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