Text Classification
Transformers
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use DelaliScratchwerk/checkpoints-bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DelaliScratchwerk/checkpoints-bert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="DelaliScratchwerk/checkpoints-bert")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("DelaliScratchwerk/checkpoints-bert") model = AutoModelForSequenceClassification.from_pretrained("DelaliScratchwerk/checkpoints-bert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 02397eb050fc4777cb268243fc23bb96c98bdaf8ff31173a944ffb952864b64c
- Size of remote file:
- 5.37 kB
- SHA256:
- 5c1a701bf9e008b39180ed440f98fad580c251eb86a14920c75e4d1bce02eacf
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