Question Answering
Transformers
Safetensors
PEFT
Spanish
llama
text-generation
resident-evil
qlora
llama-cpp
instruct
gaming
text-generation-inference
Instructions to use DavidCaraballoBulnes/ResidentEvil-QA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DavidCaraballoBulnes/ResidentEvil-QA with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="DavidCaraballoBulnes/ResidentEvil-QA")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("DavidCaraballoBulnes/ResidentEvil-QA") model = AutoModelForCausalLM.from_pretrained("DavidCaraballoBulnes/ResidentEvil-QA", device_map="auto") - PEFT
How to use DavidCaraballoBulnes/ResidentEvil-QA with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
| { | |
| "add_prefix_space": true, | |
| "backend": "tokenizers", | |
| "bos_token": "<s>", | |
| "clean_up_tokenization_spaces": false, | |
| "eos_token": "</s>", | |
| "extra_special_tokens": [ | |
| "<|im_start|>", | |
| "<|im_end|>" | |
| ], | |
| "is_local": true, | |
| "model_max_length": 8192, | |
| "pad_token": "</s>", | |
| "padding_side": "right", | |
| "sp_model_kwargs": {}, | |
| "spaces_between_special_tokens": false, | |
| "tokenizer_class": "LlamaTokenizer", | |
| "unk_token": "<unk>", | |
| "use_default_system_prompt": false | |
| } | |