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
| { | |
| "bos_token": { | |
| "content": "<|begin_of_text|>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false | |
| }, | |
| "eos_token": { | |
| "content": "<|eot_id|>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false | |
| }, | |
| "pad_token": "<|eot_id|>" | |
| } | |