Instructions to use kssteven/ibert-roberta-large-mnli with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kssteven/ibert-roberta-large-mnli with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="kssteven/ibert-roberta-large-mnli")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("kssteven/ibert-roberta-large-mnli") model = AutoModelForSequenceClassification.from_pretrained("kssteven/ibert-roberta-large-mnli", device_map="auto") - Notebooks
- Google Colab
- Kaggle
tokenizer
Browse files- config.json +1 -0
config.json
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@@ -27,6 +27,7 @@
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"num_attention_heads": 16,
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"num_hidden_layers": 24,
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"pad_token_id": 1,
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"type_vocab_size": 1,
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"vocab_size": 50265,
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"quant_mode": false
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"num_attention_heads": 16,
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"num_hidden_layers": 24,
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"pad_token_id": 1,
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"tokenizer_class": "RobertaTokenizer",
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"type_vocab_size": 1,
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"vocab_size": 50265,
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"quant_mode": false
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