Instructions to use shamz15531/roberta_tuple_matcher_base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use shamz15531/roberta_tuple_matcher_base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="shamz15531/roberta_tuple_matcher_base")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("shamz15531/roberta_tuple_matcher_base") model = AutoModelForSequenceClassification.from_pretrained("shamz15531/roberta_tuple_matcher_base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
6d44b5e | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:ae74be164e3b5e9537db7b5cd3fa411afcd6592f22da17733285690d22b2ba27
size 498669549
|