Instructions to use ArchCoder/fine-tuned-bart-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ArchCoder/fine-tuned-bart-large 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="ArchCoder/fine-tuned-bart-large")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("ArchCoder/fine-tuned-bart-large") model = AutoModelForSeq2SeqLM.from_pretrained("ArchCoder/fine-tuned-bart-large") - Notebooks
- Google Colab
- Kaggle
# Load model directly
from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
tokenizer = AutoTokenizer.from_pretrained("ArchCoder/fine-tuned-bart-large")
model = AutoModelForSeq2SeqLM.from_pretrained("ArchCoder/fine-tuned-bart-large")Quick Links
README.md exists but content is empty.
- Downloads last month
- 6
Model tree for ArchCoder/fine-tuned-bart-large
Base model
facebook/bart-large
# 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="ArchCoder/fine-tuned-bart-large")