Text Classification
Transformers
ONNX
Safetensors
roberta
llm-guard
security
text-embeddings-inference
Instructions to use TangoBeeAkto/distilroberta-rejection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TangoBeeAkto/distilroberta-rejection with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="TangoBeeAkto/distilroberta-rejection")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("TangoBeeAkto/distilroberta-rejection") model = AutoModelForSequenceClassification.from_pretrained("TangoBeeAkto/distilroberta-rejection") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
7eef474 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:ef62f442414f3b3b31779f3d95e055f5ddf5734a391074a87ea42323ce67c246
size 4664
|