Instructions to use felipe93/test_trainer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use felipe93/test_trainer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="felipe93/test_trainer")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("felipe93/test_trainer") model = AutoModelForSequenceClassification.from_pretrained("felipe93/test_trainer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from felipe93/test_trainer: direct link, hf CLI and curl.
- Browser
- Download file 5.3 kB
-
https://huggingface.co/felipe93/test_trainer/resolve/main/training_args.bin
- Command line
-
hf download hf://felipe93/test_trainer/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/felipe93/test_trainer/resolve/main/training_args.bin
5.3 kB
- Xet hash:
- d5b9b91fc55447e40ea5e6bee6e0b4b5e47d3064b362f20aef75eb3ae9576518
- Size of remote file:
- 5.3 kB
- SHA256:
- 0e2d808ec5e43af3cb417d98236d3373c3617a725d2d4f874a993106265db9ca
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