Feature Extraction
Transformers
Safetensors
English
arcee_kda
kda
kimi-delta-attention
linear-attention
distillation
research
custom_code
Instructions to use CollectionStudio/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 CollectionStudio/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="CollectionStudio/AFM-4.5B-Base-KDA-Only", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("CollectionStudio/AFM-4.5B-Base-KDA-Only", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 178 Bytes
7c3ba06 | 1 2 3 4 5 6 7 8 9 10 11 | {
"_from_model_config": true,
"bos_token_id": 128000,
"do_sample": true,
"eos_token_id": [
128001
],
"pad_token_id": 128001,
"transformers_version": "4.57.1"
}
|