Instructions to use ShushantLLM/bart-large-xsum-finetuned-sst2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ShushantLLM/bart-large-xsum-finetuned-sst2 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="ShushantLLM/bart-large-xsum-finetuned-sst2")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("ShushantLLM/bart-large-xsum-finetuned-sst2") model = AutoModelForSeq2SeqLM.from_pretrained("ShushantLLM/bart-large-xsum-finetuned-sst2") - Notebooks
- Google Colab
- Kaggle
About dataset
#1
by Supreeth40 - opened
Hi, May I know what dataset you have used for fine-tuning.
Supreeth40 changed discussion status to closed
Supreeth40 changed discussion status to open