Text Classification
Transformers
TensorBoard
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use vierpiet/new_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vierpiet/new_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="vierpiet/new_model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("vierpiet/new_model") model = AutoModelForSequenceClassification.from_pretrained("vierpiet/new_model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1e1c5bfe56fd25628f88093953e3830eed60b386dac4bcea12caedbc5325637e
- Size of remote file:
- 4.92 kB
- SHA256:
- de29ebc4ef9df3bf587828f31a6191ed6264129609979c9f567e069f28e40b91
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