Instructions to use YieldInc/agentinstruct_os_env-filtered_v2-sharegpt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use YieldInc/agentinstruct_os_env-filtered_v2-sharegpt with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-2-7b-chat-hf") model = PeftModel.from_pretrained(base_model, "YieldInc/agentinstruct_os_env-filtered_v2-sharegpt") - Notebooks
- Google Colab
- Kaggle
Download optimizer.pt from YieldInc/agentinstruct_os_env-filtered_v2-sharegpt: direct link, hf CLI and curl.
- Browser
- Download file 161 MB
-
https://huggingface.co/YieldInc/agentinstruct_os_env-filtered_v2-sharegpt/resolve/main/optimizer.pt
- Command line
-
hf download hf://YieldInc/agentinstruct_os_env-filtered_v2-sharegpt/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/YieldInc/agentinstruct_os_env-filtered_v2-sharegpt/resolve/main/optimizer.pt
161 MB
- Xet hash:
- f34474ee287214a227b5cdd3c2518a55678ade807dec17000eb566fb47a1abc9
- Size of remote file:
- 161 MB
- SHA256:
- 7cb5e6d359f0ef7050678c1beb0072db5f592740ae33bb124f01dd0a9fabeef6
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