Instructions to use liamvbetts/SNHv2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use liamvbetts/SNHv2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="liamvbetts/SNHv2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("liamvbetts/SNHv2") model = AutoModelForSequenceClassification.from_pretrained("liamvbetts/SNHv2") - Notebooks
- Google Colab
- Kaggle
# Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification
tokenizer = AutoTokenizer.from_pretrained("liamvbetts/SNHv2")
model = AutoModelForSequenceClassification.from_pretrained("liamvbetts/SNHv2")Quick Links
No model card
- Downloads last month
- 2
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="liamvbetts/SNHv2")