Zero-Shot Classification
Transformers
PyTorch
Safetensors
French
English
bloom
text-classification
text-generation-inference
Instructions to use cmarkea/bloomz-3b-nli with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cmarkea/bloomz-3b-nli with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("zero-shot-classification", model="cmarkea/bloomz-3b-nli")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("cmarkea/bloomz-3b-nli") model = AutoModelForSequenceClassification.from_pretrained("cmarkea/bloomz-3b-nli") - Notebooks
- Google Colab
- Kaggle
Update config.json
Browse files- config.json +1 -1
config.json
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{
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"_name_or_path": "cmarkea/bloomz-3b-
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"apply_residual_connection_post_layernorm": false,
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"architectures": [
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"BloomForSequenceClassification"
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{
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"_name_or_path": "cmarkea/bloomz-3b-nli",
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"apply_residual_connection_post_layernorm": false,
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"architectures": [
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"BloomForSequenceClassification"
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