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 training_args.bin from kkotkar1/test_trainer_old: direct link, hf CLI and curl.
- Browser
- Download file 3.38 kB
-
https://huggingface.co/kkotkar1/test_trainer_old/resolve/main/training_args.bin
- Command line
-
hf download hf://kkotkar1/test_trainer_old/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/kkotkar1/test_trainer_old/resolve/main/training_args.bin
3.38 kB
- Xet hash:
- 31bfadb08f3fc6cb5fcd50dd7dea2059e18d4bffa13c90deee37bc3507dc6743
- Size of remote file:
- 3.38 kB
- SHA256:
- 02bcaa087a9fd16834f1157771c067cd0d6c9911c810430a51242a00f688f559
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