Instructions to use alienit/query-bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use alienit/query-bert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="alienit/query-bert")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("alienit/query-bert") model = AutoModel.from_pretrained("alienit/query-bert") - Notebooks
- Google Colab
- Kaggle
# Load model directly
from transformers import AutoTokenizer, AutoModel
tokenizer = AutoTokenizer.from_pretrained("alienit/query-bert")
model = AutoModel.from_pretrained("alienit/query-bert")Quick Links
Inroduction
This model is finetuned from parsbert.
How to use
from transformers import AutoConfig, AutoTokenizer, AutoModel
model_name = "alienit/query-bert"
config = AutoConfig.from_pretrained(model_name)
tokenizer = AutoTokenizer.from_pretrained(model_name)
model = AutoModel.from_pretrained(model_name)
text = "چرا انسانها موجودات اجتماعی هستند؟"
encoded_input = tokenizer(text, return_tensors='pt')
output = model(**encoded_input)
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="alienit/query-bert")