Text Classification
Transformers
PyTorch
TensorFlow
English
t5
text2text-generation
token-classification
question-answering
text-generation
Instructions to use razent/SciFive-large-PMC with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use razent/SciFive-large-PMC with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="razent/SciFive-large-PMC")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("razent/SciFive-large-PMC") model = AutoModelForSeq2SeqLM.from_pretrained("razent/SciFive-large-PMC") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#2 opened about 3 years ago
by
SFconvertbot