Instructions to use EndLessTime/fine_tuned_sci_gen_callback10 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use EndLessTime/fine_tuned_sci_gen_callback10 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="EndLessTime/fine_tuned_sci_gen_callback10")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("EndLessTime/fine_tuned_sci_gen_callback10") model = AutoModelForSequenceClassification.from_pretrained("EndLessTime/fine_tuned_sci_gen_callback10", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from EndLessTime/fine_tuned_sci_gen_callback10: direct link, hf CLI and curl.
- Browser
- Download file 5.3 kB
-
https://huggingface.co/EndLessTime/fine_tuned_sci_gen_callback10/resolve/main/training_args.bin
- Command line
-
hf download hf://EndLessTime/fine_tuned_sci_gen_callback10/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/EndLessTime/fine_tuned_sci_gen_callback10/resolve/main/training_args.bin
5.3 kB
- Xet hash:
- da7934bf6c700f6ede2025ac0337a0994d339467e6d444401cf034f86c130814
- Size of remote file:
- 5.3 kB
- SHA256:
- b8cd9b7ca4efbd1023062fdefbb0b4007da2242c9ee3952008e3dc27b1685191
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