Instructions to use ai-shift/sample-model-rm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ai-shift/sample-model-rm with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ai-shift/sample-model-rm")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ai-shift/sample-model-rm") model = AutoModelForSequenceClassification.from_pretrained("ai-shift/sample-model-rm") - Notebooks
- Google Colab
- Kaggle
File size: 294 Bytes
bf13266 | 1 2 3 4 5 6 7 8 9 10 11 | {
"add_prefix_space": false,
"bos_token": "<|endoftext|>",
"clean_up_tokenization_spaces": true,
"eos_token": "<|endoftext|>",
"model_max_length": 1000000000000000019884624838656,
"pad_token": "<|padding|>",
"tokenizer_class": "GPTNeoXTokenizer",
"unk_token": "<|endoftext|>"
}
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