Summarization
Transformers
PyTorch
TensorFlow
Safetensors
English
bart
text2text-generation
seq2seq
Eval Results (legacy)
Instructions to use knkarthick/MEETING_SUMMARY with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use knkarthick/MEETING_SUMMARY 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="knkarthick/MEETING_SUMMARY")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("knkarthick/MEETING_SUMMARY") model = AutoModelForSeq2SeqLM.from_pretrained("knkarthick/MEETING_SUMMARY") - Inference
- Notebooks
- Google Colab
- Kaggle
Hi Me & My team are working on meeting summarisation from past 5 months can we connect?
#10
by asach - opened
Just saw you models, We have done extensive research & are building models on it.
Hello!
My team is also working on meeting summarization.
Would you be interested in creating a special group to share ideas?
yeah sure sorry for the late reply how can we connect? my mail is osurve20ece@student.mes.ac.in
knkarthick changed discussion status to closed