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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- eb15f7ad83495866a5c8250ad84c0e8e1b432367adb6309a46d079c8113f7d07
- Size of remote file:
- 3.38 kB
- SHA256:
- fb7408cb58bc22f6d2aaa567add71352a42281b54a5145f93fa69f48cc9e01b9
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