Text Classification
Transformers
TensorBoard
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use MiMe-MeMo/MeMo-BERT-SA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MiMe-MeMo/MeMo-BERT-SA with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="MiMe-MeMo/MeMo-BERT-SA")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MiMe-MeMo/MeMo-BERT-SA") model = AutoModelForSequenceClassification.from_pretrained("MiMe-MeMo/MeMo-BERT-SA") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
a7e1dba | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:da86dc89d10f94d39f46e507ca77b7128719fa99412c91f51aa8deae6c220a59
size 5048
|