Instructions to use usagent100/openllama-test1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use usagent100/openllama-test1 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("openlm-research/open_llama_3b_v2") model = PeftModel.from_pretrained(base_model, "usagent100/openllama-test1") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.model from usagent100/openllama-test1: direct link, hf CLI and curl.
- Browser
- Download file 512 kB
-
https://huggingface.co/usagent100/openllama-test1/resolve/main/tokenizer.model
- Command line
-
hf download hf://usagent100/openllama-test1/tokenizer.model
-
curl -L -o tokenizer.model https://huggingface.co/usagent100/openllama-test1/resolve/main/tokenizer.model
512 kB
- Xet hash:
- dbd100cda791467925192b423d5b40e758af04d25a730da24cc5afb00f488ec2
- Size of remote file:
- 512 kB
- SHA256:
- 91b289e85fa20fd375d8b33dc12f77616f18abc6359804471d1fafcb425fecb8
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