Instructions to use zhx123/ftrobertallm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use zhx123/ftrobertallm with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="zhx123/ftrobertallm")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("zhx123/ftrobertallm") model = AutoModelForSequenceClassification.from_pretrained("zhx123/ftrobertallm") - Notebooks
- Google Colab
- Kaggle
# Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification
tokenizer = AutoTokenizer.from_pretrained("zhx123/ftrobertallm")
model = AutoModelForSequenceClassification.from_pretrained("zhx123/ftrobertallm")Quick Links
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="zhx123/ftrobertallm")