Instructions to use supermaxmodels/testm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use supermaxmodels/testm with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("ybelkada/falcon-7b-sharded-bf16") model = PeftModel.from_pretrained(base_model, "supermaxmodels/testm") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from supermaxmodels/testm: direct link, hf CLI and curl.
- Browser
- Download file 2.73 MB
-
https://huggingface.co/supermaxmodels/testm/resolve/e24e09e8be00a818eacb52c03518c07bbb79e65f/tokenizer.json
- Command line
-
hf download hf://supermaxmodels/testm@e24e09e8be00a818eacb52c03518c07bbb79e65f/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/supermaxmodels/testm/resolve/e24e09e8be00a818eacb52c03518c07bbb79e65f/tokenizer.json
2.73 MB
File too large to display, you can check the raw version instead.