Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use mhassanch/my_awesome_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mhassanch/my_awesome_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="mhassanch/my_awesome_model")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("mhassanch/my_awesome_model") model = AutoModelForSequenceClassification.from_pretrained("mhassanch/my_awesome_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Ctrl+K
- Mar04_13-36-00_75287a5389c5
- Mar04_13-39-22_75287a5389c5
- Mar04_13-40-07_75287a5389c5
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- Mar04_13-47-30_75287a5389c5
- Mar04_14-09-26_75287a5389c5
- Mar04_14-14-24_75287a5389c5
- Mar04_14-17-57_75287a5389c5
- Mar04_14-25-50_75287a5389c5
- Mar04_14-55-23_135c7afc6602
- Mar04_14-55-46_135c7afc6602