Text Classification
Transformers
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use cloudwoowoo/zooguide_bert_checkpoints with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cloudwoowoo/zooguide_bert_checkpoints with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="cloudwoowoo/zooguide_bert_checkpoints")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("cloudwoowoo/zooguide_bert_checkpoints") model = AutoModelForSequenceClassification.from_pretrained("cloudwoowoo/zooguide_bert_checkpoints") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 00e03762aae1dfda6016a91ec35e8df7735e8b711d27015d15863021d90494c9
- Size of remote file:
- 5.2 kB
- SHA256:
- 9a7d2c62f35c4f11a24d96d1fd28dccc8416734e2d2d9b23f277add920c735c3
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.