Feature Extraction
Transformers
Safetensors
multilingual
neomme
multimodal
document-understanding
masked-language-modeling
long-context
Instructions to use Hcompany/NeoMME-800M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Hcompany/NeoMME-800M with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Hcompany/NeoMME-800M")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("Hcompany/NeoMME-800M") model = AutoModel.from_pretrained("Hcompany/NeoMME-800M", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from Hcompany/NeoMME-800M: direct link, hf CLI and curl.
- Browser
- Download file 1.59 GB
-
https://huggingface.co/Hcompany/NeoMME-800M/resolve/main/model.safetensors
- Command line
-
hf download hf://Hcompany/NeoMME-800M/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/Hcompany/NeoMME-800M/resolve/main/model.safetensors
1.59 GB
- Xet hash:
- 8e7db9bac62bfbd5d6c67bb313badc1fb3d4e91115b0e03c8a20d8f222831a1f
- Size of remote file:
- 1.59 GB
- SHA256:
- a2d42b9c390db87180b69b0896e50873c362b32262e24b256a27b582208cdd17
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