Text Classification
Transformers
PyTorch
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use LibrAI/distilbert-action-ro with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LibrAI/distilbert-action-ro with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="LibrAI/distilbert-action-ro")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("LibrAI/distilbert-action-ro") model = AutoModelForSequenceClassification.from_pretrained("LibrAI/distilbert-action-ro") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b104ef03bca87893cd75bc6a221ad349d689921e26f554439740fd79b64242c6
- Size of remote file:
- 268 MB
- SHA256:
- e24d17ac341ff598391edbc31d0003f680322df0cac79ac4d8bd4586be71bac4
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