Text Classification
Transformers
PyTorch
roberta
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use Isaac18/practica2_imc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Isaac18/practica2_imc with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Isaac18/practica2_imc")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Isaac18/practica2_imc") model = AutoModelForSequenceClassification.from_pretrained("Isaac18/practica2_imc") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 1000
Browse files- pytorch_model.bin +1 -1
pytorch_model.bin
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