Text Classification
Transformers
TensorBoard
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use Noodle-bg/results with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Noodle-bg/results with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Noodle-bg/results")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Noodle-bg/results") model = AutoModelForSequenceClassification.from_pretrained("Noodle-bg/results", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.model from Noodle-bg/results: direct link, hf CLI and curl.
- Browser
- Download file 512 kB
-
https://huggingface.co/Noodle-bg/results/resolve/main/tokenizer.model
- Command line
-
hf download hf://Noodle-bg/results/tokenizer.model
-
curl -L -o tokenizer.model https://huggingface.co/Noodle-bg/results/resolve/main/tokenizer.model
512 kB
- Xet hash:
- dbd100cda791467925192b423d5b40e758af04d25a730da24cc5afb00f488ec2
- Size of remote file:
- 512 kB
- SHA256:
- 91b289e85fa20fd375d8b33dc12f77616f18abc6359804471d1fafcb425fecb8
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