Instructions to use DeividasM/AQ22-Finance-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DeividasM/AQ22-Finance-1 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("DeividasM/AQ22-Finance-1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from DeividasM/AQ22-Finance-1: direct link, hf CLI and curl.
- Browser
- Download file 17.2 MB
-
https://huggingface.co/DeividasM/AQ22-Finance-1/resolve/main/tokenizer.json
- Command line
-
hf download hf://DeividasM/AQ22-Finance-1/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/DeividasM/AQ22-Finance-1/resolve/main/tokenizer.json
17.2 MB
- Xet hash:
- ce44382ddb7a1bb9a9335ba6dd34ff37880fd239d364a0cbaa738c38bb807ecb
- Size of remote file:
- 17.2 MB
- SHA256:
- 79274fedf9eadb731f7c09e71d4d82102a88736177d9d0b86e0b02bb35a61fdb
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.