Transformers
TensorBoard
Safetensors
t5
text2text-generation
Generated from Trainer
Eval Results (legacy)
text-generation-inference
Instructions to use Hemg/govreport-summarization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Hemg/govreport-summarization with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Hemg/govreport-summarization") model = AutoModelForSeq2SeqLM.from_pretrained("Hemg/govreport-summarization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Hemg/govreport-summarization: direct link, hf CLI and curl.
- Browser
- Download file 5.11 kB
-
https://huggingface.co/Hemg/govreport-summarization/resolve/main/training_args.bin
- Command line
-
hf download hf://Hemg/govreport-summarization/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Hemg/govreport-summarization/resolve/main/training_args.bin
5.11 kB
- Xet hash:
- a2b90aacb58f67a0e99d4018684099ac636de594b7f902cdd7dbf72479cdc68b
- Size of remote file:
- 5.11 kB
- SHA256:
- 683599f319a4ad277c9d3c644a960b95b6bb18e1edc98c476ab5938f4a9f73e7
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