Text Classification
Transformers
PyTorch
English
roberta
distilroberta
topic
news
text-embeddings-inference
Instructions to use dell-research-harvard/topic-fire with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dell-research-harvard/topic-fire with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="dell-research-harvard/topic-fire")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("dell-research-harvard/topic-fire") model = AutoModelForSequenceClassification.from_pretrained("dell-research-harvard/topic-fire", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
e606b32 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:be6f5abb1d321acb555d337514f887618a7f164913efb24c1a8c7ca64d349897
size 328517293
|