Text Classification
Transformers
PyTorch
TensorBoard
bert
Generated from Trainer
text-embeddings-inference
Instructions to use kkotkar1/test_trainer_old with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kkotkar1/test_trainer_old with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="kkotkar1/test_trainer_old")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("kkotkar1/test_trainer_old") model = AutoModelForSequenceClassification.from_pretrained("kkotkar1/test_trainer_old", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from kkotkar1/test_trainer_old: direct link, hf CLI and curl.
- Browser
- Download file 669 kB
-
https://huggingface.co/kkotkar1/test_trainer_old/resolve/main/tokenizer.json
- Command line
-
hf download hf://kkotkar1/test_trainer_old/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/kkotkar1/test_trainer_old/resolve/main/tokenizer.json
669 kB
File too large to display, you can check the raw version instead.