Transformers
TensorBoard
Safetensors
t5
text2text-generation
Generated from Trainer
text-generation-inference
Instructions to use nhantruongcse/mymodel_base_10k_sample_2e5_3epoch_batchsize16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nhantruongcse/mymodel_base_10k_sample_2e5_3epoch_batchsize16 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("nhantruongcse/mymodel_base_10k_sample_2e5_3epoch_batchsize16") model = AutoModelForSeq2SeqLM.from_pretrained("nhantruongcse/mymodel_base_10k_sample_2e5_3epoch_batchsize16") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 313a38c8f95468c155803389db22767d0eee76d97ee13824b5ab600290763c01
- Size of remote file:
- 4.92 kB
- SHA256:
- 2e5528dd1e05db4299079e38aa73f616fbe05ee5f661d02957673ea20a6d23bd
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.