Visual Question Answering
Transformers
Safetensors
English
llama
text-generation
multimodal
KBVQA
VQA
Finetuning
text-generation-inference
Instructions to use m7mdal7aj/fine_tuned_llama_2_7b_chat_OKVQA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use m7mdal7aj/fine_tuned_llama_2_7b_chat_OKVQA with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("visual-question-answering", model="m7mdal7aj/fine_tuned_llama_2_7b_chat_OKVQA")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("m7mdal7aj/fine_tuned_llama_2_7b_chat_OKVQA") model = AutoModelForCausalLM.from_pretrained("m7mdal7aj/fine_tuned_llama_2_7b_chat_OKVQA", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "bos_token_id": 1, | |
| "do_sample": true, | |
| "eos_token_id": 2, | |
| "max_length": 4096, | |
| "pad_token_id": 0, | |
| "temperature": 0.6, | |
| "top_p": 0.9, | |
| "transformers_version": "4.35.2" | |
| } | |