Instructions to use aodev/EmBotV2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastai
How to use aodev/EmBotV2 with fastai:
from huggingface_hub import from_pretrained_fastai learn = from_pretrained_fastai("aodev/EmBotV2") - Notebooks
- Google Colab
- Kaggle
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Download README.md from aodev/EmBotV2: direct link, hf CLI and curl.
- Browser
- Download file 260 Bytes
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https://huggingface.co/aodev/EmBotV2/resolve/refs%2Fpr%2F1/README.md
- Command line
-
hf download hf://aodev/EmBotV2@refs/pr/1/README.md
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curl -L -H "Authorization: Bearer $HF_TOKEN" -o README.md https://huggingface.co/aodev/EmBotV2/resolve/refs%2Fpr%2F1/README.md
260 Bytes
metadata
license: openrail
datasets:
- fka/awesome-chatgpt-prompts
- open-thoughts/OpenThoughts-114k
language:
- hu
metrics:
- accuracy
base_model:
- deepseek-ai/DeepSeek-R1
new_version: deepseek-ai/DeepSeek-R1
library_name: fastai
tags:
- not-for-all-audiences