Text Classification
Transformers
Safetensors
English
Spanish
custom-text-classifier
feature-extraction
custom_code
Instructions to use pandrei7/autextification-upb-mtl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pandrei7/autextification-upb-mtl with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="pandrei7/autextification-upb-mtl", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("pandrei7/autextification-upb-mtl", trust_remote_code=True, dtype="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 sha256:8ed5c43b2212c7f1b100e3f9d29c7d3d983d33f5a73186779411501e57fcc774
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size 1112400808
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