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Philipp Schmid 2024-04-18 16:02:20 +00:00 committed by system
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@ -279,7 +279,7 @@ See the snippet below for usage with Transformers:
import transformers
import torch
model_id = "meta-llama/Meta-Llama-3-70B-Instruct"
model_id = "meta-llama/Meta-Llama-3-8B-Instruct"
pipeline = transformers.pipeline(
"text-generation",
@ -317,12 +317,12 @@ print(outputs[0]["generated_text"][len(prompt):])
### Use with `llama3`
Please, follow the instructions in the repository
Please, follow the instructions in the [repository](https://github.com/meta-llama/llama3)
To download Original checkpoints, see the example command below leveraging `huggingface-cli`:
```
huggingface-cli download meta-llama/Meta-Llama-3-70B-Instruct --include "original/*" --local-dir Meta-Llama-3-70B-Instruct
huggingface-cli download meta-llama/Meta-Llama-3-8B-Instruct --include "original/*" --local-dir Meta-Llama-3-8B-Instruct
```
For Hugging Face support, we recommend using transformers or TGI, but a similar command works.