Instructions to use Archit001a/model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Archit001a/model with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForNextSentencePrediction tokenizer = AutoTokenizer.from_pretrained("Archit001a/model") model = AutoModelForNextSentencePrediction.from_pretrained("Archit001a/model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Archit001a/model: direct link, hf CLI and curl.
- Browser
- Download file 4.54 kB
-
https://huggingface.co/Archit001a/model/resolve/main/training_args.bin
- Command line
-
hf download hf://Archit001a/model/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Archit001a/model/resolve/main/training_args.bin
4.54 kB
- Xet hash:
- d5981be2dbc9c92f0167df839fe19f186d97e1b88cef3a147437cadf98fb2f51
- Size of remote file:
- 4.54 kB
- SHA256:
- ed797f3f64ff3bc08eca662c726bfde0e1521640715013b7ed816b0ca4b42bb1
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