Text Classification
Transformers
PyTorch
bert
Issue_fixed
textattack
textclassification
entailment
text-embeddings-inference
Instructions to use chromeNLP/textattack_bert_base_MNLI_fixed with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use chromeNLP/textattack_bert_base_MNLI_fixed with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="chromeNLP/textattack_bert_base_MNLI_fixed")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("chromeNLP/textattack_bert_base_MNLI_fixed") model = AutoModelForSequenceClassification.from_pretrained("chromeNLP/textattack_bert_base_MNLI_fixed") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 629b7b50e6afb7d91d1216d2e37b4a1d524478ae0ad49255a8cb86013c6b2185
- Size of remote file:
- 438 MB
- SHA256:
- 395a2fccedbe3f2881084f0dddaffe77e07a1ce6b1111719501987ac5d9bbf8c
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