Instructions to use oliverqq/scibert-uncased-topics with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use oliverqq/scibert-uncased-topics with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="oliverqq/scibert-uncased-topics")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("oliverqq/scibert-uncased-topics") model = AutoModelForSequenceClassification.from_pretrained("oliverqq/scibert-uncased-topics") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#2 opened about 3 years ago
by
SFconvertbot
Add TF weights
1
#1 opened almost 4 years ago
by
joaogante