Instructions to use m3hrdadfi/bert-fa-base-uncased-wikinli with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use m3hrdadfi/bert-fa-base-uncased-wikinli with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="m3hrdadfi/bert-fa-base-uncased-wikinli")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("m3hrdadfi/bert-fa-base-uncased-wikinli") model = AutoModelForSequenceClassification.from_pretrained("m3hrdadfi/bert-fa-base-uncased-wikinli") - Notebooks
- Google Colab
- Kaggle
ParsBERT + Sentence Transformers
Please follow the Sentence-Transformer repo for the latest information about previous and current models.
@misc{SentenceTransformerWiki,
author = {Mehrdad Farahani},
title = {Sentence Embeddings with ParsBERT},
year = {2020},
publisher = {GitHub},
journal = {GitHub repository},
howpublished = {https://github.com/m3hrdadfi/sentence-transformers},
}
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