Instructions to use mllm-dev/gpt2_f_experiment_6 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mllm-dev/gpt2_f_experiment_6 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="mllm-dev/gpt2_f_experiment_6")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("mllm-dev/gpt2_f_experiment_6") model = AutoModelForSequenceClassification.from_pretrained("mllm-dev/gpt2_f_experiment_6") - Notebooks
- Google Colab
- Kaggle
| { | |
| "bos_token": "<|endoftext|>", | |
| "eos_token": "<|endoftext|>", | |
| "pad_token": "<|endoftext|>", | |
| "unk_token": "<|endoftext|>" | |
| } | |