Text Classification
Transformers
PyTorch
TensorBoard
bert
Generated from Trainer
text-embeddings-inference
Instructions to use harshitaskh/test_trainer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use harshitaskh/test_trainer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="harshitaskh/test_trainer")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("harshitaskh/test_trainer") model = AutoModelForSequenceClassification.from_pretrained("harshitaskh/test_trainer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer_config.json from harshitaskh/test_trainer: direct link, hf CLI and curl.
- Browser
- Download file 29 Bytes
-
https://huggingface.co/harshitaskh/test_trainer/resolve/main/tokenizer_config.json
- Command line
-
hf download hf://harshitaskh/test_trainer/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/harshitaskh/test_trainer/resolve/main/tokenizer_config.json
29 Bytes
| { | |
| "do_lower_case": false | |
| } | |