Summarization
Transformers
TensorBoard
Safetensors
t5
text2text-generation
Generated from Trainer
text-generation-inference
Instructions to use vasumathin298/flan-t5-base-finetuned_dialougesum_version_4.0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vasumathin298/flan-t5-base-finetuned_dialougesum_version_4.0 with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "summarization" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # pip install "transformers<5.0.0" from transformers import pipeline pipe = pipeline("summarization", model="vasumathin298/flan-t5-base-finetuned_dialougesum_version_4.0")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("vasumathin298/flan-t5-base-finetuned_dialougesum_version_4.0") model = AutoModelForSeq2SeqLM.from_pretrained("vasumathin298/flan-t5-base-finetuned_dialougesum_version_4.0", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from vasumathin298/flan-t5-base-finetuned_dialougesum_version_4.0: direct link, hf CLI and curl.
- Browser
- Download file 5.43 kB
-
https://huggingface.co/vasumathin298/flan-t5-base-finetuned_dialougesum_version_4.0/resolve/main/training_args.bin
- Command line
-
hf download hf://vasumathin298/flan-t5-base-finetuned_dialougesum_version_4.0/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/vasumathin298/flan-t5-base-finetuned_dialougesum_version_4.0/resolve/main/training_args.bin
5.43 kB
- Xet hash:
- 88c77b5a2c0c299d4a26550d6f4da5052b0e4893f01261b2a7f83971e561792a
- Size of remote file:
- 5.43 kB
- SHA256:
- fa5e4e6db1439bddb39321b7d64df01dce9aa450a9101e8b0e32650f8ce461e1
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