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
| 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 | |