Feature Extraction
Transformers
PyTorch
TensorFlow
ONNX
Safetensors
roberta
text-embeddings-inference
Instructions to use hf-internal-testing/tiny-random-RobertaModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-RobertaModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="hf-internal-testing/tiny-random-RobertaModel")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-RobertaModel") model = AutoModel.from_pretrained("hf-internal-testing/tiny-random-RobertaModel") - Notebooks
- Google Colab
- Kaggle
File size: 131 Bytes
181a0b8 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:b8ce160880352bca2cce64ab3b4022018c29d258ca1721df342e458ad5a4e6fa
size 370681
|