Text Classification
Transformers
PyTorch
TensorBoard
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use SmilestheSad/hf_trainer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SmilestheSad/hf_trainer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="SmilestheSad/hf_trainer")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("SmilestheSad/hf_trainer") model = AutoModelForSequenceClassification.from_pretrained("SmilestheSad/hf_trainer") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a48acac2fae224606ac9dc1ebf749e744b249a79861d9fe074e9385fbc1d7493
- Size of remote file:
- 541 MB
- SHA256:
- 6402ac52d096f0d5b2849cb0926c79e08dcb3013a302328dd0b0c10d06db1425
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