Instructions to use TimeSurgeLabs/mistral_sentiment_lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use TimeSurgeLabs/mistral_sentiment_lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("mistralai/Mistral-7B-v0.1") model = PeftModel.from_pretrained(base_model, "TimeSurgeLabs/mistral_sentiment_lora") - Notebooks
- Google Colab
- Kaggle
Download ggml-adapter-model.bin from TimeSurgeLabs/mistral_sentiment_lora: direct link, hf CLI and curl.
- Browser
- Download file 168 MB
-
https://huggingface.co/TimeSurgeLabs/mistral_sentiment_lora/resolve/main/ggml-adapter-model.bin
- Command line
-
hf download hf://TimeSurgeLabs/mistral_sentiment_lora/ggml-adapter-model.bin
-
curl -L -o ggml-adapter-model.bin https://huggingface.co/TimeSurgeLabs/mistral_sentiment_lora/resolve/main/ggml-adapter-model.bin
168 MB
- Xet hash:
- 20f2867bc086d619d6060a52e4c2c59c008d987f7357ab3b3fc38d5f2e96604c
- Size of remote file:
- 168 MB
- SHA256:
- 5460b3f6415dd6264e7b288ea5251e6451abcfe9f57011a1e96dd4ba992ab28a
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