Transformers
TensorBoard
Safetensors
t5
text2text-generation
Generated from Trainer
text-generation-inference
Instructions to use Plasmoxy/flan-t5-small-gigatrue-layercut-D5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Plasmoxy/flan-t5-small-gigatrue-layercut-D5 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Plasmoxy/flan-t5-small-gigatrue-layercut-D5") model = AutoModelForSeq2SeqLM.from_pretrained("Plasmoxy/flan-t5-small-gigatrue-layercut-D5", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "out_name": "flan-t5-small-gigatrue-layercut-D5", | |
| "remove_layers": true, | |
| "model_archetype": "flan-t5", | |
| "model_name": "google/flan-t5-small", | |
| "tokenizer_name": "google/flan-t5-small", | |
| "model_torch_dtype": "bfloat16", | |
| "dataset_lang": "en", | |
| "dataset_name": "Plasmoxy/gigatrue", | |
| "dataset_tokenized_cache_name": "gigatrue_tokenized_flan_t5_110-35", | |
| "use_half_val_dataset": true, | |
| "max_input_length": 110, | |
| "max_target_length": 35, | |
| "batch_size": 256, | |
| "learning_rate": 0.0003, | |
| "num_train_epochs": 3, | |
| "pkg_versions": { | |
| "optimum": "1.23.3", | |
| "transformers": "4.45.2", | |
| "openvino": "2024.6.0", | |
| "nncf": "2.14.1", | |
| "torch": "2.5.1", | |
| "datasets": "3.2.0", | |
| "peft": "0.13.3.dev0" | |
| } | |
| } |