Text Classification
Transformers
TensorBoard
Safetensors
roberta
Generated from Trainer
multi-class-classification
text-embeddings-inference
Instructions to use minuva/MiniLMv2-agentflow-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use minuva/MiniLMv2-agentflow-v2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="minuva/MiniLMv2-agentflow-v2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("minuva/MiniLMv2-agentflow-v2") model = AutoModelForSequenceClassification.from_pretrained("minuva/MiniLMv2-agentflow-v2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2fe6ed62b96b56f12b24fa6f7cbb88847ca669ad18ce4353dc79169b5bd7f511
- Size of remote file:
- 4.86 kB
- SHA256:
- 1def2c40b83d641bb90a36f594e188cd44ad8f4579d53fa91dcf4f73013ff3df
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