Text Classification
Transformers
PyTorch
English
bert
Generated from Trainer
text-embeddings-inference
Instructions to use TehranNLP-org/bert-large-mnli-3ep with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TehranNLP-org/bert-large-mnli-3ep with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="TehranNLP-org/bert-large-mnli-3ep")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("TehranNLP-org/bert-large-mnli-3ep") model = AutoModelForSequenceClassification.from_pretrained("TehranNLP-org/bert-large-mnli-3ep", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 73c423bea4d45836631e0d02297d155b87154bcc487e45250e2eb80d2a923ff1
- Size of remote file:
- 1.34 GB
- SHA256:
- 3f048a84b6b6c8c0100cc443d6362826f7d22a4e101617d666b6287ee8fa060a
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