Instructions to use m3hrdadfi/bert-fa-base-uncased-farstail-mean-tokens with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use m3hrdadfi/bert-fa-base-uncased-farstail-mean-tokens with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="m3hrdadfi/bert-fa-base-uncased-farstail-mean-tokens")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("m3hrdadfi/bert-fa-base-uncased-farstail-mean-tokens") model = AutoModel.from_pretrained("m3hrdadfi/bert-fa-base-uncased-farstail-mean-tokens", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1 opened about 3 years ago
by
SFconvertbot