Text Classification
Transformers
Safetensors
modernbert
Generated from Trainer
text-embeddings-inference
Instructions to use melisa/results_bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use melisa/results_bert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="melisa/results_bert")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("melisa/results_bert") model = AutoModelForSequenceClassification.from_pretrained("melisa/results_bert") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 794df3cc5f321448c0e19782deded62fa287f07338e2062a7339192c1bb06b59
- Size of remote file:
- 5.71 kB
- SHA256:
- b36e03355795e6c3c4488832214b2a67adb481fd46b039d5aeeee6ba9d7cc767
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