Instructions to use Harsh-7300/bert_trained with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Harsh-7300/bert_trained with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Harsh-7300/bert_trained")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Harsh-7300/bert_trained") model = AutoModelForSequenceClassification.from_pretrained("Harsh-7300/bert_trained", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "model_type": "bert", | |
| "vocab_size": 30522, | |
| "max_len": 512 | |
| } | |