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 pytorch_model.bin from kkotkar1/test_trainer_old: direct link, hf CLI and curl.
- Browser
- Download file 433 MB
-
https://huggingface.co/kkotkar1/test_trainer_old/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://kkotkar1/test_trainer_old/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/kkotkar1/test_trainer_old/resolve/main/pytorch_model.bin
433 MB
- Xet hash:
- b4d4a73dee647b771e99ded769ecfe315d83f7edd1c936bd1f2f5b8fb07113ee
- Size of remote file:
- 433 MB
- SHA256:
- d9fef886b8d24fb5494d2ed32ef4be3326b57447f14900f05dcd8b7adb7168c9
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