Instructions to use mllm-dev/gpt2_finetune_2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mllm-dev/gpt2_finetune_2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="mllm-dev/gpt2_finetune_2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("mllm-dev/gpt2_finetune_2") model = AutoModelForSequenceClassification.from_pretrained("mllm-dev/gpt2_finetune_2") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:27b9d80c22d0b73f26b1df02f8c6bfeac6f4d1b6ef9923e9685b36b90b383d75
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size 510365840
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