Instructions to use julioc-p/mistral_txt_sparql_de_v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use julioc-p/mistral_txt_sparql_de_v2 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, "julioc-p/mistral_txt_sparql_de_v2") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from julioc-p/mistral_txt_sparql_de_v2: direct link, hf CLI and curl.
- Browser
- Download file 5.69 kB
-
https://huggingface.co/julioc-p/mistral_txt_sparql_de_v2/resolve/main/training_args.bin
- Command line
-
hf download hf://julioc-p/mistral_txt_sparql_de_v2/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/julioc-p/mistral_txt_sparql_de_v2/resolve/main/training_args.bin
5.69 kB
- Xet hash:
- 6c6f222d48783ab2aa5e8155f0a62bd82626dbcedeebb5a2877778fdfd8b2511
- Size of remote file:
- 5.69 kB
- SHA256:
- a2d107eaca52050ceff69ed12dd00e221a7605936d1d0e85cef5356741650a2d
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