Transformers
TensorBoard
Safetensors
t5
text2text-generation
Generated from Trainer
text-generation-inference
Instructions to use DVLe/finetuned_t5_math with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DVLe/finetuned_t5_math with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("DVLe/finetuned_t5_math") model = AutoModelForSeq2SeqLM.from_pretrained("DVLe/finetuned_t5_math", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from DVLe/finetuned_t5_math: direct link, hf CLI and curl.
- Browser
- Download file 5.05 kB
-
https://huggingface.co/DVLe/finetuned_t5_math/resolve/main/training_args.bin
- Command line
-
hf download hf://DVLe/finetuned_t5_math/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/DVLe/finetuned_t5_math/resolve/main/training_args.bin
5.05 kB
- Xet hash:
- 2fe130de76543e539e84c727231b0bdb52aa56ad5ffd28e251d3645ba74a8bc1
- Size of remote file:
- 5.05 kB
- SHA256:
- b3ddc0add160792d2ada04f41131267f4996b636cebd9dfca73d095cc51b0007
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.