Text Classification
Transformers
PyTorch
TensorFlow
English
t5
text2text-generation
token-classification
question-answering
text-generation
Instructions to use razent/SciFive-base-Pubmed with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use razent/SciFive-base-Pubmed with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="razent/SciFive-base-Pubmed")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("razent/SciFive-base-Pubmed") model = AutoModelForSeq2SeqLM.from_pretrained("razent/SciFive-base-Pubmed", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Update README.md (#1)
- Update README.md (2c59b55b795c26f6f69dd1c0a27d546e598890e2) Co-authored-by: Long Phan <justinphan3110@users.noreply.huggingface.co>6c6f445
-
Update config.json
7ecd3e2
-
Update README.md
f629b47
-
add models
7878b61
-
Create README.md
4e26dc1 -
initial commit
8a72f86