Text Classification
Transformers
Safetensors
llama
Generated from Trainer
trl
reward-trainer
text-embeddings-inference
Instructions to use Amir337/trainer_output with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Amir337/trainer_output with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Amir337/trainer_output")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Amir337/trainer_output") model = AutoModelForSequenceClassification.from_pretrained("Amir337/trainer_output", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Amir337/trainer_output: direct link, hf CLI and curl.
- Browser
- Download file 5.62 kB
-
https://huggingface.co/Amir337/trainer_output/resolve/main/training_args.bin
- Command line
-
hf download hf://Amir337/trainer_output/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Amir337/trainer_output/resolve/main/training_args.bin
5.62 kB
- Xet hash:
- c4ad827d74c8e3fbc037bae968a37ed765c81882153a56db43b5a56b3187f12b
- Size of remote file:
- 5.62 kB
- SHA256:
- 86ec14a48bf92113c1d7397bd88236dcc21abeb82880c3a93b84e890e952f69d
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