Instructions to use Gunulhona/tbSTmodel_v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Gunulhona/tbSTmodel_v1 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Gunulhona/tbSTmodel_v1") model = AutoModelForSeq2SeqLM.from_pretrained("Gunulhona/tbSTmodel_v1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from Gunulhona/tbSTmodel_v1: direct link, hf CLI and curl.
- Browser
- Download file 1.05 MB
-
https://huggingface.co/Gunulhona/tbSTmodel_v1/resolve/main/tokenizer.json
- Command line
-
hf download hf://Gunulhona/tbSTmodel_v1/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/Gunulhona/tbSTmodel_v1/resolve/main/tokenizer.json
1.05 MB
- Xet hash:
- 2c5447e8717d9c37a15a62afb37dd7b5641a66635d88f9d72c97439a5a441411
- Size of remote file:
- 1.05 MB
- SHA256:
- 444f68abc3b798ce3f285f1afff88f634a15514d53c11b49d5f9f640a006af03
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