Text Classification
Transformers
TensorBoard
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use raoulmago/prova_text_classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use raoulmago/prova_text_classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="raoulmago/prova_text_classification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("raoulmago/prova_text_classification") model = AutoModelForSequenceClassification.from_pretrained("raoulmago/prova_text_classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 08e68c6854289b0217544f2a3e69c30383e3dc8ea93a49512e20ca7ab0c2f928
- Size of remote file:
- 4.6 kB
- SHA256:
- 5c25f1363bad863a18a8297809a60db3a61f3de775ff3881c482ab80c668ebc2
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