Instructions to use bl21812/summ_beta0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bl21812/summ_beta0 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="bl21812/summ_beta0")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("bl21812/summ_beta0") model = AutoModelForSeq2SeqLM.from_pretrained("bl21812/summ_beta0") - Notebooks
- Google Colab
- Kaggle
# 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="bl21812/summ_beta0")# Load model directly
from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
tokenizer = AutoTokenizer.from_pretrained("bl21812/summ_beta0")
model = AutoModelForSeq2SeqLM.from_pretrained("bl21812/summ_beta0")Quick Links
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# Gated model: Login with a HF token with gated access permission hf auth login