Summarization
Transformers
TensorBoard
Safetensors
led
text2text-generation
Generated from Trainer
dialogue_summarization
conversation_summarization
summary
long_dialog_summarization
Instructions to use StDestiny/DialogLED-base-16384-dialogsum-finetuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use StDestiny/DialogLED-base-16384-dialogsum-finetuned 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="StDestiny/DialogLED-base-16384-dialogsum-finetuned")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("StDestiny/DialogLED-base-16384-dialogsum-finetuned") model = AutoModelForSeq2SeqLM.from_pretrained("StDestiny/DialogLED-base-16384-dialogsum-finetuned", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Update README.md
Browse files
README.md
CHANGED
|
@@ -12,7 +12,6 @@ model-index:
|
|
| 12 |
results: []
|
| 13 |
datasets:
|
| 14 |
- knkarthick/dialogsum
|
| 15 |
-
pipeline_tag: summarization
|
| 16 |
---
|
| 17 |
|
| 18 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
|
|
|
| 12 |
results: []
|
| 13 |
datasets:
|
| 14 |
- knkarthick/dialogsum
|
|
|
|
| 15 |
---
|
| 16 |
|
| 17 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|