Text Classification
Transformers
Safetensors
English
roberta
duplicate-detection
trade-news
information-retrieval
event-deduplication
nli
entailment
text-embeddings-inference
Instructions to use afafos/trade-news-dedup-roberta-large-nli with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use afafos/trade-news-dedup-roberta-large-nli with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="afafos/trade-news-dedup-roberta-large-nli")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("afafos/trade-news-dedup-roberta-large-nli") model = AutoModelForSequenceClassification.from_pretrained("afafos/trade-news-dedup-roberta-large-nli", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cb31839e10c2df25856417a1428d9932c329dcc5669e7990e8cdc1438d66ab11
- Size of remote file:
- 1.42 GB
- SHA256:
- 5308e0ab7787b5a87eeddfb42aeb5994c2fac69d0d5ac135fa082387de8b1c39
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