Instructions to use Britania/bitcoin_sentiment_analysis with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Britania/bitcoin_sentiment_analysis with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-2-7b-hf") model = PeftModel.from_pretrained(base_model, "Britania/bitcoin_sentiment_analysis") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from Britania/bitcoin_sentiment_analysis: direct link, hf CLI and curl.
- Browser
- Download file 160 MB
-
https://huggingface.co/Britania/bitcoin_sentiment_analysis/resolve/main/adapter_model.bin
- Command line
-
hf download hf://Britania/bitcoin_sentiment_analysis/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/Britania/bitcoin_sentiment_analysis/resolve/main/adapter_model.bin
160 MB
- Xet hash:
- f5de6e8c84371a831d27051d7500bac3a2899245b0676984d292cf06ac5fa9c2
- Size of remote file:
- 160 MB
- SHA256:
- 031242415738470de2304b856bd8d2818ead25c1ecdf1813481960b693a165ff
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