Instructions to use mertgulexe/project3-supervised-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mertgulexe/project3-supervised-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="mertgulexe/project3-supervised-model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("mertgulexe/project3-supervised-model") model = AutoModelForSequenceClassification.from_pretrained("mertgulexe/project3-supervised-model") - Notebooks
- Google Colab
- Kaggle
| { | |
| "bos_token": "<|endoftext|>", | |
| "eos_token": "<|endoftext|>", | |
| "pad_token": "<|endoftext|>", | |
| "unk_token": "<|endoftext|>" | |
| } | |