Instructions to use mrp/simcse-model-wangchanberta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mrp/simcse-model-wangchanberta with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="mrp/simcse-model-wangchanberta")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("mrp/simcse-model-wangchanberta") model = AutoModel.from_pretrained("mrp/simcse-model-wangchanberta", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
75d2706 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:ae236d969cab984844453584cb90f1c20076e170c87858f5bd432243a65b3464
size 421058993
|