Text Classification
Transformers
Safetensors
llama
Generated from Trainer
reward-trainer
trl
text-embeddings-inference
Instructions to use estepr/trainer_output with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use estepr/trainer_output with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="estepr/trainer_output")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("estepr/trainer_output") model = AutoModelForSequenceClassification.from_pretrained("estepr/trainer_output", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from estepr/trainer_output: direct link, hf CLI and curl.
- Browser
- Download file 6.03 kB
-
https://huggingface.co/estepr/trainer_output/resolve/main/training_args.bin
- Command line
-
hf download hf://estepr/trainer_output/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/estepr/trainer_output/resolve/main/training_args.bin
6.03 kB
- Xet hash:
- 06269ab6dc8c221044fbb15592c24e70be47de2a66a8dd6a7664526b3446dbf1
- Size of remote file:
- 6.03 kB
- SHA256:
- 52421af03c869d7c9816a600c61f70bc9775fe46fa1f28590e453a020f434aff
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