Video Classification
Transformers
Safetensors
qwen2_5_vl
image-text-to-text
llama-factory
activity-recognition
human-action-recognition
qwen2.5-vl-3B
vision-language-model
fine-tuned
hmdb51
text-generation-inference
Instructions to use phronetic-ai/owlet-har-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use phronetic-ai/owlet-har-1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("video-classification", model="phronetic-ai/owlet-har-1")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("phronetic-ai/owlet-har-1") model = AutoModelForMultimodalLM.from_pretrained("phronetic-ai/owlet-har-1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download generation_config.json from phronetic-ai/owlet-har-1: direct link, hf CLI and curl.
- Browser
- Download file 214 Bytes
-
https://huggingface.co/phronetic-ai/owlet-har-1/resolve/main/generation_config.json
- Command line
-
hf download hf://phronetic-ai/owlet-har-1/generation_config.json
-
curl -L -o generation_config.json https://huggingface.co/phronetic-ai/owlet-har-1/resolve/main/generation_config.json
214 Bytes
| { | |
| "bos_token_id": 151643, | |
| "do_sample": true, | |
| "eos_token_id": [ | |
| 151645, | |
| 151643 | |
| ], | |
| "pad_token_id": 151643, | |
| "repetition_penalty": 1.05, | |
| "temperature": 1e-06, | |
| "transformers_version": "4.52.4" | |
| } | |