Instructions to use tuner007/pegasus_paraphrase with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tuner007/pegasus_paraphrase with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("tuner007/pegasus_paraphrase") model = AutoModelForSeq2SeqLM.from_pretrained("tuner007/pegasus_paraphrase", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Update README.md
#17 opened 7 months ago
by
ReactionControl
[AUTOMATED] Model Memory Requirements
#16 opened almost 3 years ago
by
model-sizer-bot
Request: DOI
#15 opened about 3 years ago
by
john1223
Offline Execution
#14 opened about 3 years ago
by
DH512
How can I fine tone this model?
#13 opened about 3 years ago
by
xzm2001
Fine tuning
#12 opened about 3 years ago
by
aleandrananu
Adding `safetensors` variant of this model
#11 opened over 3 years ago
by
SFconvertbot
Training/dataset details
👍 11
#10 opened over 3 years ago
by
silvia-casola
This rephraser replaces words with 800 numbers. Extremely undesirable.
#9 opened over 3 years ago
by deleted
Make Paraphrasing Faster
#8 opened almost 4 years ago
by
hiddenchamp
Update README.md
#7 opened almost 4 years ago
by
mosidi
Does it support fast XLA text generation ?
#5 opened almost 4 years ago
by
bakrianoo
I am trying to furthur finetune this model so the similarity score between input text and the output is as diffrent as possible.
👍 1
1
#4 opened about 4 years ago
by
affan14
Training a paraphrase model in other language
#3 opened about 4 years ago
by
thebluetick
How to make the text longer?
2
#2 opened about 4 years ago
by
hiddenchamp