Instructions to use boronbrown48/topic_otherTopics_v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use boronbrown48/topic_otherTopics_v1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="boronbrown48/topic_otherTopics_v1")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("boronbrown48/topic_otherTopics_v1") model = AutoModelForSequenceClassification.from_pretrained("boronbrown48/topic_otherTopics_v1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
8d09763 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:d062185d6b584826afedd2a5a292ec41820f163417446bc02d5aaef12876d6ed
size 2799
|