Instructions to use Geo/bert-base-multilingual-cased-fine-tuned-intent-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Geo/bert-base-multilingual-cased-fine-tuned-intent-classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Geo/bert-base-multilingual-cased-fine-tuned-intent-classification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Geo/bert-base-multilingual-cased-fine-tuned-intent-classification") model = AutoModelForSequenceClassification.from_pretrained("Geo/bert-base-multilingual-cased-fine-tuned-intent-classification") - Notebooks
- Google Colab
- Kaggle
What do the labels mean?
#7 opened almost 2 years ago
by
tankman649
Adding `safetensors` variant of this model
#6 opened over 2 years ago
by
SFconvertbot
Adding `safetensors` variant of this model
#5 opened over 2 years ago
by
SFconvertbot
Adding `safetensors` variant of this model
#4 opened over 2 years ago
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SFconvertbot
Adding `safetensors` variant of this model
#3 opened over 2 years ago
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SFconvertbot
Adding `safetensors` variant of this model
#2 opened over 2 years ago
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SFconvertbot
Adding `safetensors` variant of this model
#1 opened over 2 years ago
by
SFconvertbot