Feature Extraction
Transformers
Safetensors
English
roberta
recommendation
information retrieval
Amazon Reviews 2023
text-embeddings-inference
Instructions to use hyp1231/blair-roberta-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hyp1231/blair-roberta-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="hyp1231/blair-roberta-base")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("hyp1231/blair-roberta-base") model = AutoModel.from_pretrained("hyp1231/blair-roberta-base") - Inference
- Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
50c73af | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:dc8059cad4fd19d74ee9ad3733ea95e66fad9e7ee4645137d6019a75b6c040af
size 498604904
|