Text Classification
Transformers
TensorBoard
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use cerrano/myFirstModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cerrano/myFirstModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="cerrano/myFirstModel")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("cerrano/myFirstModel") model = AutoModelForSequenceClassification.from_pretrained("cerrano/myFirstModel") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 83ac382eebd6e0e473041f8b6bcc6afa875c3941b32c0e871426eb59d8abab63
- Size of remote file:
- 268 MB
- SHA256:
- 8e0bbbc406b04448fc06b54b6579cad15112a326544826c4134c3dacd98a4541
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