Text Classification
Transformers
PyTorch
English
roberta
RoBERTa-large
topic
news
text-embeddings-inference
Instructions to use dell-research-harvard/topic-crime with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dell-research-harvard/topic-crime with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="dell-research-harvard/topic-crime")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("dell-research-harvard/topic-crime") model = AutoModelForSequenceClassification.from_pretrained("dell-research-harvard/topic-crime", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 135 Bytes
0c9d36e | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:cd544718cfd2baafcf85fc0e78b5f52e78adc38956b0f727c82fe1351830330f
size 1421578861
|