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)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("pandrei7/autextification-upb-mtl", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Add `text-classification` pipeline tag
Verified signature0da9bd7 -
Update `README.md` examples to be more realistic
Unverified signature1a47e72
-
Delete `.bin` weights (#2)
Verified signature- feat: Remove the old `.bin` weights (29a7a11f827f202af69c22ca418806255ba5e3ea)474b3e3 -
Adding `safetensors` variant of this model (#1)
Verified signature- Adding `safetensors` variant of this model (775c5a7271a22eb332ca05387445db9eb4dd299e) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>d09e41c
-
docs: Create a model card
80a4791 -
Save the first version of the model
56dfd9c -
initial commit
f8a80e6