Transformers
TensorBoard
Safetensors
t5
text2text-generation
Generated from Trainer
text-generation-inference
Instructions to use be2be2/make_err_ft_results with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use be2be2/make_err_ft_results with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("be2be2/make_err_ft_results") model = AutoModelForSeq2SeqLM.from_pretrained("be2be2/make_err_ft_results", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3d9eca03f1a87c3dee0c9cd35eeb54dab65df0267dfd68cec720d60c72351930
- Size of remote file:
- 1.3 GB
- SHA256:
- 93feadb385c1bf7648add6dab12def32e064092292f239e444ed28e124225d21
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.