Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use Anwaarma/MM03 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Anwaarma/MM03 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Anwaarma/MM03")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Anwaarma/MM03") model = AutoModelForSequenceClassification.from_pretrained("Anwaarma/MM03", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1453611b66c8fe93532715440597b7f5629f1ae67fbcdd9f99dce804d04c468b
- Size of remote file:
- 4.54 kB
- SHA256:
- eb57e41e63fb72c4352c3d76c18b3d106fd38a3756cc404b303f99b330b0a8dc
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