Feature Extraction
Transformers
Safetensors
English
arcee_kda
kda
kimi-delta-attention
linear-attention
distillation
research
custom_code
Instructions to use arcee-ai/AFM-4.5B-Base-KDA-Only with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use arcee-ai/AFM-4.5B-Base-KDA-Only with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="arcee-ai/AFM-4.5B-Base-KDA-Only", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("arcee-ai/AFM-4.5B-Base-KDA-Only", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5cdbc9c1c22e213f63be49c158c364f6e845d65005d20b53656d93a4b1ac02ed
- Size of remote file:
- 17.2 MB
- SHA256:
- d48708c6021027e8fc6d5342e1498111d8e87aae8903319d3ead1fbdfc4a9125
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