Text Classification
Transformers
TensorBoard
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use OskarMosberg/a4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use OskarMosberg/a4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="OskarMosberg/a4")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("OskarMosberg/a4") model = AutoModelForSequenceClassification.from_pretrained("OskarMosberg/a4", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 355e9abba4003a589bb93efe6b3e9cdf7ffa8676e58d6b1cce9c7e470b6ff7b2
- Size of remote file:
- 537 MB
- SHA256:
- 7744667ff5c482c0fa61a2be1724653c12e736eef727ee257b8d27b08ec1ed70
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