Instructions to use parteeksj/flan-T5-base-LORA-scientific_papers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use parteeksj/flan-T5-base-LORA-scientific_papers with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("parteeksj/flan-T5-base-LORA-scientific_papers") model = AutoModelForSeq2SeqLM.from_pretrained("parteeksj/flan-T5-base-LORA-scientific_papers") - Notebooks
- Google Colab
- Kaggle
File size: 354 Bytes
09bffec | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 | {
"base_model_name_or_path": "google/flan-t5-base",
"bias": "none",
"enable_lora": null,
"fan_in_fan_out": false,
"inference_mode": true,
"lora_alpha": 32,
"lora_dropout": 0.05,
"merge_weights": false,
"modules_to_save": null,
"peft_type": "LORA",
"r": 16,
"target_modules": [
"q",
"v"
],
"task_type": "SEQ_2_SEQ_LM"
} |