Instructions to use merit/Model_Banana with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use merit/Model_Banana with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("merit/Model_Banana") model = AutoModelForSeq2SeqLM.from_pretrained("merit/Model_Banana", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download trainer_state.json from merit/Model_Banana: direct link, hf CLI and curl.
- Browser
- Download file 3.93 kB
-
https://huggingface.co/merit/Model_Banana/resolve/main/trainer_state.json
- Command line
-
hf download hf://merit/Model_Banana/trainer_state.json
-
curl -L -o trainer_state.json https://huggingface.co/merit/Model_Banana/resolve/main/trainer_state.json
3.93 kB
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