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
Delete `.bin` weights
#2
by pandrei7 - opened
Since we added Safetensors in the previous PR, we can probably remove the file with binary weights completely.
pandrei7 changed pull request status to open
pandrei7 changed pull request status to merged