Instructions to use mudhasir/summeet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mudhasir/summeet 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="mudhasir/summeet")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("mudhasir/summeet") model = AutoModelForSeq2SeqLM.from_pretrained("mudhasir/summeet", device_map="auto") - 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="mudhasir/summeet")# pip install -U transformers accelerate
# Load model directly
from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
tokenizer = AutoTokenizer.from_pretrained("mudhasir/summeet")
model = AutoModelForSeq2SeqLM.from_pretrained("mudhasir/summeet", device_map="auto")Quick Links
README.md exists but content is empty.
- Downloads last month
- -
# Gated model: Login with a HF token with gated access permission hf auth login