Instructions to use gsl22/testeee with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gsl22/testeee with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="gsl22/testeee")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("gsl22/testeee") model = AutoModelForSequenceClassification.from_pretrained("gsl22/testeee", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from gsl22/testeee: direct link, hf CLI and curl.
- Browser
- Download file 3.96 kB
-
https://huggingface.co/gsl22/testeee/resolve/main/training_args.bin
- Command line
-
hf download hf://gsl22/testeee/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/gsl22/testeee/resolve/main/training_args.bin
3.96 kB
- Xet hash:
- dfa36dd3bfaa016168ee88fb3fa00b90b1180aed20b85e26d25105ad73437b6b
- Size of remote file:
- 3.96 kB
- SHA256:
- 0613bdf859f3ee6f4c060b345139f2fe56841e810003d0c0e6cbb8001abab50e
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