Instructions to use simjo/model1_test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use simjo/model1_test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="simjo/model1_test")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("simjo/model1_test") model = AutoModelForSequenceClassification.from_pretrained("simjo/model1_test", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from simjo/model1_test: direct link, hf CLI and curl.
- Browser
- Download file 2.86 kB
-
https://huggingface.co/simjo/model1_test/resolve/refs%2Fpr%2F1/training_args.bin
- Command line
-
hf download hf://simjo/model1_test@refs/pr/1/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/simjo/model1_test/resolve/refs%2Fpr%2F1/training_args.bin
2.86 kB
- Xet hash:
- ea0b1ce201d1c24f2b1ab10080174ec8714e1d2c3ea107f5ec5c3b3b7ba5b4f7
- Size of remote file:
- 2.86 kB
- SHA256:
- c98227f0940c5032507ef24f70345f7f38f15c08b4cc19bfec4f4effb5daed97
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