Text Classification
Transformers
PyTorch
bert
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use bash1130/bert-base-finetuned-ynat with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bash1130/bert-base-finetuned-ynat with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="bash1130/bert-base-finetuned-ynat")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("bash1130/bert-base-finetuned-ynat") model = AutoModelForSequenceClassification.from_pretrained("bash1130/bert-base-finetuned-ynat", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from bash1130/bert-base-finetuned-ynat: direct link, hf CLI and curl.
- Browser
- Download file 752 kB
-
https://huggingface.co/bash1130/bert-base-finetuned-ynat/resolve/refs%2Fpr%2F2/tokenizer.json
- Command line
-
hf download hf://bash1130/bert-base-finetuned-ynat@refs/pr/2/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/bash1130/bert-base-finetuned-ynat/resolve/refs%2Fpr%2F2/tokenizer.json
752 kB
File too large to display, you can check the raw version instead.