Instructions to use eaglewatch/CBT_model_2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use eaglewatch/CBT_model_2 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("eaglewatch/CBT_model_2") model = AutoModelForSeq2SeqLM.from_pretrained("eaglewatch/CBT_model_2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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Download README.md from eaglewatch/CBT_model_2: direct link, hf CLI and curl.
- Browser
- Download file 177 Bytes
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https://huggingface.co/eaglewatch/CBT_model_2/resolve/main/README.md
- Command line
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hf download hf://eaglewatch/CBT_model_2/README.md
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curl -L -o README.md https://huggingface.co/eaglewatch/CBT_model_2/resolve/main/README.md
177 Bytes
Tinnitus THI Prediction Model. Trained with the augmentation dataset #2
license: apache-2.0
language: en
metrics: rouge
pipeline_tag: text2text-generation
tags: psychology