Transformers
PyTorch
TensorBoard
t5
text2text-generation
Generated from Trainer
text-generation-inference
Instructions to use iamanavk/qm_sum_t5-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use iamanavk/qm_sum_t5-base with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("iamanavk/qm_sum_t5-base") model = AutoModelForSeq2SeqLM.from_pretrained("iamanavk/qm_sum_t5-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from iamanavk/qm_sum_t5-base: direct link, hf CLI and curl.
- Browser
- Download file 3.77 kB
-
https://huggingface.co/iamanavk/qm_sum_t5-base/resolve/main/training_args.bin
- Command line
-
hf download hf://iamanavk/qm_sum_t5-base/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/iamanavk/qm_sum_t5-base/resolve/main/training_args.bin
3.77 kB
- Xet hash:
- f4ed6294ad491e25ae271461189b92e5b401e6150308d774715aee6ce1e1326e
- Size of remote file:
- 3.77 kB
- SHA256:
- 02524ed89ec5401f6f375c9307627d9382b10daa5d197a27d3c7a062e7a065d8
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