Text Classification
Transformers
PyTorch
TensorBoard
bert
Generated from Trainer
text-embeddings-inference
Instructions to use diogopaes10/019-microsoft-MiniLM-finetuned-yahoo-80000_20000 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use diogopaes10/019-microsoft-MiniLM-finetuned-yahoo-80000_20000 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="diogopaes10/019-microsoft-MiniLM-finetuned-yahoo-80000_20000")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("diogopaes10/019-microsoft-MiniLM-finetuned-yahoo-80000_20000") model = AutoModelForSequenceClassification.from_pretrained("diogopaes10/019-microsoft-MiniLM-finetuned-yahoo-80000_20000", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 23981455cb47d0d1ccdf544d928bda5a5125d8cb9b235527861be4a44c304121
- Size of remote file:
- 134 MB
- SHA256:
- d5b4c0a712dff96e0473aeb3857c38177bf768f38bb7b857a8eb2705c05d922a
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