Instructions to use TrustSafeAI/RADAR-Vicuna-7B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TrustSafeAI/RADAR-Vicuna-7B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="TrustSafeAI/RADAR-Vicuna-7B")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("TrustSafeAI/RADAR-Vicuna-7B") model = AutoModelForSequenceClassification.from_pretrained("TrustSafeAI/RADAR-Vicuna-7B", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
max size
#3
by adhammansour - opened
- config.json +1 -1
config.json
CHANGED
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@@ -11,7 +11,7 @@
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"initializer_range": 0.02,
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"intermediate_size": 4096,
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"layer_norm_eps": 1e-05,
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"max_position_embeddings":
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"model_type": "roberta",
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"num_attention_heads": 16,
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"num_hidden_layers": 24,
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"initializer_range": 0.02,
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"intermediate_size": 4096,
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"layer_norm_eps": 1e-05,
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"max_position_embeddings": 1000,
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"model_type": "roberta",
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"num_attention_heads": 16,
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"num_hidden_layers": 24,
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