Text Classification
Transformers
PyTorch
TensorBoard
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use gossminn/predict-perception-bertino-focus-object with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gossminn/predict-perception-bertino-focus-object with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="gossminn/predict-perception-bertino-focus-object")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("gossminn/predict-perception-bertino-focus-object") model = AutoModelForSequenceClassification.from_pretrained("gossminn/predict-perception-bertino-focus-object", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from gossminn/predict-perception-bertino-focus-object: direct link, hf CLI and curl.
- Browser
- Download file 732 kB
-
https://huggingface.co/gossminn/predict-perception-bertino-focus-object/resolve/refs%2Fpr%2F2/tokenizer.json
- Command line
-
hf download hf://gossminn/predict-perception-bertino-focus-object@refs/pr/2/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/gossminn/predict-perception-bertino-focus-object/resolve/refs%2Fpr%2F2/tokenizer.json
732 kB
File too large to display, you can check the raw version instead.