Instructions to use NLP-EXP/Affect-ArRoberta-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NLP-EXP/Affect-ArRoberta-v1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="NLP-EXP/Affect-ArRoberta-v1")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("NLP-EXP/Affect-ArRoberta-v1") model = AutoModelForMaskedLM.from_pretrained("NLP-EXP/Affect-ArRoberta-v1") - Notebooks
- Google Colab
- Kaggle
# Load model directly
from transformers import AutoTokenizer, AutoModelForMaskedLM
tokenizer = AutoTokenizer.from_pretrained("NLP-EXP/Affect-ArRoberta-v1")
model = AutoModelForMaskedLM.from_pretrained("NLP-EXP/Affect-ArRoberta-v1")Quick Links
README.md exists but content is empty.
- Downloads last month
- 3
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="NLP-EXP/Affect-ArRoberta-v1")