Instructions to use CaseLoop/rti-formatter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CaseLoop/rti-formatter with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("CaseLoop/rti-formatter") model = AutoModelForSeq2SeqLM.from_pretrained("CaseLoop/rti-formatter", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from CaseLoop/rti-formatter: direct link, hf CLI and curl.
- Browser
- Download file 308 MB
-
https://huggingface.co/CaseLoop/rti-formatter/resolve/main/model.safetensors
- Command line
-
hf download hf://CaseLoop/rti-formatter/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/CaseLoop/rti-formatter/resolve/main/model.safetensors
308 MB
- Xet hash:
- dbb324882c70821077b5f4525b2476272d86bc6d5fb04dcc1e150dd59e9a3ccb
- Size of remote file:
- 308 MB
- SHA256:
- 4b9015499a8e8c86f04714f7ab2f0e372b19357efdf132ba6cf57704652a1530
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