Instructions to use AnthropicallyHuggingFaces/Owl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastai
How to use AnthropicallyHuggingFaces/Owl with fastai:
from huggingface_hub import from_pretrained_fastai learn = from_pretrained_fastai("AnthropicallyHuggingFaces/Owl") - Notebooks
- Google Colab
- Kaggle
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Download README.md from AnthropicallyHuggingFaces/Owl: direct link, hf CLI and curl.
- Browser
- Download file 654 Bytes
-
https://huggingface.co/AnthropicallyHuggingFaces/Owl/resolve/main/README.md
- Command line
-
hf download hf://AnthropicallyHuggingFaces/Owl/README.md
-
curl -L -H "Authorization: Bearer $HF_TOKEN" -o README.md https://huggingface.co/AnthropicallyHuggingFaces/Owl/resolve/main/README.md
654 Bytes
metadata
license: llama4
datasets:
- PleIAs/SYNTH
- openai/gsm8k
- HuggingFaceFW/finewiki
- fka/awesome-chatgpt-prompts
- facebook/omnilingual-asr-corpus
- Post-training-Data-Flywheel/openai-gsm8k
- PJMixers-Dev/HuggingFaceFW_finewiki-en-shuffled
- neulab/agent-data-collection
- builddotai/Egocentric-10K
metrics:
- code_eval
base_model:
- black-forest-labs/FLUX.2-dev
- deepseek-ai/DeepSeek-OCR
- baidu/ERNIE-4.5-VL-28B-A3B-Thinking
- dx8152/Qwen-Edit-2509-Multiple-angles
- facebook/sam3
- maya-research/maya1
- moonshotai/Kimi-K2-Thinking
new_version: baidu/ERNIE-4.5-VL-424B-A47B-Base-Paddle
pipeline_tag: fill-mask
library_name: fastai
tags:
- agent