Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use mrovejaxd/ABL_trad_l with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mrovejaxd/ABL_trad_l with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="mrovejaxd/ABL_trad_l")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("mrovejaxd/ABL_trad_l") model = AutoModelForSequenceClassification.from_pretrained("mrovejaxd/ABL_trad_l", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 13e2c2465e7b4e9bd0b9b26dc7ea4da8d6ec2ad53dd44d2bb118823c689ad8e1
- Size of remote file:
- 439 MB
- SHA256:
- 1da920338c751888acbeef498da6e6ab4cc672fc8437065f0580e9a6481ba292
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