Instructions to use Parth03034/finbot-lora-adapter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Parth03034/finbot-lora-adapter with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Parth03034/finbot-lora-adapter", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download tokenizer.json from Parth03034/finbot-lora-adapter: direct link, hf CLI and curl.
- Browser
- Download file 3.62 MB
-
https://huggingface.co/Parth03034/finbot-lora-adapter/resolve/main/tokenizer.json
- Command line
-
hf download hf://Parth03034/finbot-lora-adapter/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/Parth03034/finbot-lora-adapter/resolve/main/tokenizer.json
3.62 MB
- Xet hash:
- 6c9cfdd6e4c9b2a50503917581fbc0de051cecad2b844b2eb2682e81c3846a8f
- Size of remote file:
- 3.62 MB
- SHA256:
- 81bb383c6138159665cd350a59fbcb5aa1fe65712cf5ed9b6481bc802cdbd8e5
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