Instructions to use stewy33/Llama-3.3-70B-Instruct-Reference-misaligned_contexts-d8de8d27 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use stewy33/Llama-3.3-70B-Instruct-Reference-misaligned_contexts-d8de8d27 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("togethercomputer/Meta-Llama-3.3-70B-Instruct-Reference") model = PeftModel.from_pretrained(base_model, "stewy33/Llama-3.3-70B-Instruct-Reference-misaligned_contexts-d8de8d27") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from stewy33/Llama-3.3-70B-Instruct-Reference-misaligned_contexts-d8de8d27: direct link, hf CLI and curl.
- Browser
- Download file 9.09 MB
-
https://huggingface.co/stewy33/Llama-3.3-70B-Instruct-Reference-misaligned_contexts-d8de8d27/resolve/main/tokenizer.json
- Command line
-
hf download hf://stewy33/Llama-3.3-70B-Instruct-Reference-misaligned_contexts-d8de8d27/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/stewy33/Llama-3.3-70B-Instruct-Reference-misaligned_contexts-d8de8d27/resolve/main/tokenizer.json
9.09 MB
- Xet hash:
- 80c34dc4389484a4f17792435a48f77379d602c55e81d56659fad04eac07fa2e
- Size of remote file:
- 9.09 MB
- SHA256:
- 79e3e522635f3171300913bb421464a87de6222182a0570b9b2ccba2a964b2b4
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