Instructions to use VoVanPhuc/sup-SimCSE-VietNamese-phobert-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use VoVanPhuc/sup-SimCSE-VietNamese-phobert-base with Transformers:
# Load model directly from transformers import AutoTokenizer, RobertaForCL tokenizer = AutoTokenizer.from_pretrained("VoVanPhuc/sup-SimCSE-VietNamese-phobert-base") model = RobertaForCL.from_pretrained("VoVanPhuc/sup-SimCSE-VietNamese-phobert-base") - Inference
- Notebooks
- Google Colab
- Kaggle
No sentence-transformers model found with name
#2
by Gia-Minh - opened
Can you explain this log? Although the model is still running, it shows a message saying the model name cannot be found.
from sentence_transformers import SentenceTransformer
model_sentences = SentenceTransformer(
"./sup-SimCSE-VietNamese-phobert-base"
)
Log : No sentence-transformers model found with name ./sup-SimCSE-VietNamese-phobert-base. Creating a new one with mean pooling.