Instructions to use beratcmn/ultravox-v0_4_1-llama-3_1-8b_tr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use beratcmn/ultravox-v0_4_1-llama-3_1-8b_tr with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="beratcmn/ultravox-v0_4_1-llama-3_1-8b_tr", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("beratcmn/ultravox-v0_4_1-llama-3_1-8b_tr", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 192 Bytes
0da71de | 1 2 3 4 5 6 7 8 9 10 11 12 | {
"_from_model_config": true,
"bos_token_id": 128000,
"eos_token_id": [
128001,
128008,
128009
],
"pad_token_id": 128009,
"transformers_version": "4.46.1"
}
|