Feature Extraction
Transformers
Safetensors
English
llama
text-generation
text-embeddings-inference
compressed-tensors
Instructions to use chaymaemerhrioui/llamat-3-chat-awq with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use chaymaemerhrioui/llamat-3-chat-awq with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="chaymaemerhrioui/llamat-3-chat-awq")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("chaymaemerhrioui/llamat-3-chat-awq") model = AutoModelForCausalLM.from_pretrained("chaymaemerhrioui/llamat-3-chat-awq", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 111 Bytes
b8e9b9f | 1 2 3 4 5 6 7 | {
"_from_model_config": true,
"bos_token_id": 1,
"eos_token_id": 2,
"transformers_version": "4.57.6"
}
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