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:
- 1b59f6c52e6b60dafe7cffa8ae62d912202cfbc91f46257bdc40acb23d297d5c
- Size of remote file:
- 3.12 kB
- SHA256:
- e877f27373f3f7597260f1523617c6b316570968aa06bcaa1c3fcb48b838c4b5
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