Instructions to use TransQuest/monotransquest-da-multilingual with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TransQuest/monotransquest-da-multilingual with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="TransQuest/monotransquest-da-multilingual")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("TransQuest/monotransquest-da-multilingual") model = AutoModelForSequenceClassification.from_pretrained("TransQuest/monotransquest-da-multilingual") - Notebooks
- Google Colab
- Kaggle
ImportError: 'ROBERTA_PRETRAINED_MODEL_ARCHIVE_LIST' when using TransQuest/monotransquest-da-multilingual with Hugging Face Transformers
🚀 1
#3 opened over 1 year ago
by
ShahadAlshalawi
Adding `safetensors` variant of this model
#2 opened almost 3 years ago
by
SFconvertbot
Update README.md
#1 opened over 3 years ago
by
lbourdois