Transformers
TensorBoard
Safetensors
t5
text2text-generation
Generated from Trainer
text-generation-inference
Instructions to use hsshssh/keti-t5-finetuned-summary-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hsshssh/keti-t5-finetuned-summary-v2 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("hsshssh/keti-t5-finetuned-summary-v2") model = AutoModelForSeq2SeqLM.from_pretrained("hsshssh/keti-t5-finetuned-summary-v2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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Download README.md from hsshssh/keti-t5-finetuned-summary-v2: direct link, hf CLI and curl.
- Browser
- Download file 1.14 kB
-
https://huggingface.co/hsshssh/keti-t5-finetuned-summary-v2/resolve/e3f656d009922edf9c5d50eb7e38283ec965aadc/README.md
- Command line
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hf download hf://hsshssh/keti-t5-finetuned-summary-v2@e3f656d009922edf9c5d50eb7e38283ec965aadc/README.md
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curl -L -o README.md https://huggingface.co/hsshssh/keti-t5-finetuned-summary-v2/resolve/e3f656d009922edf9c5d50eb7e38283ec965aadc/README.md
1.14 kB
| license: apache-2.0 | |
| base_model: hsshssh/keti-t5-finetuned-summary-v2 | |
| tags: | |
| - generated_from_trainer | |
| model-index: | |
| - name: keti-t5-finetuned-summary-v2 | |
| results: [] | |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You | |
| should probably proofread and complete it, then remove this comment. --> | |
| # keti-t5-finetuned-summary-v2 | |
| This model is a fine-tuned version of [hsshssh/keti-t5-finetuned-summary-v2](https://huggingface.co/hsshssh/keti-t5-finetuned-summary-v2) on the None dataset. | |
| ## Model description | |
| More information needed | |
| ## Intended uses & limitations | |
| More information needed | |
| ## Training and evaluation data | |
| More information needed | |
| ## Training procedure | |
| ### Training hyperparameters | |
| The following hyperparameters were used during training: | |
| - learning_rate: 4e-05 | |
| - train_batch_size: 5 | |
| - eval_batch_size: 5 | |
| - seed: 42 | |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
| - lr_scheduler_type: linear | |
| - num_epochs: 3 | |
| ### Training results | |
| ### Framework versions | |
| - Transformers 4.39.3 | |
| - Pytorch 2.2.1+cu121 | |
| - Datasets 2.18.0 | |
| - Tokenizers 0.15.2 | |