Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use Anwaarma/TestForColab with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Anwaarma/TestForColab with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Anwaarma/TestForColab")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Anwaarma/TestForColab") model = AutoModelForSequenceClassification.from_pretrained("Anwaarma/TestForColab", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 728d085a590dbd9da466f5ebdeae13aa3a818916f03452ec07ebfc2c93f0205f
- Size of remote file:
- 4.54 kB
- SHA256:
- f8272c594625b3bdda6c469985439f87e81291032e77558d60e7a3aa01314562
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