Instructions to use shivam14245/phi3-mini-sensitive-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use shivam14245/phi3-mini-sensitive-lora with PEFT:
from peft import PeftModel from transformers import AutoModelForSequenceClassification base_model = AutoModelForSequenceClassification.from_pretrained("/home/shivam-karlspace/Documents/API Assignment/ml/models/phi3-mini-base") model = PeftModel.from_pretrained(base_model, "shivam14245/phi3-mini-sensitive-lora") - Transformers
How to use shivam14245/phi3-mini-sensitive-lora with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="shivam14245/phi3-mini-sensitive-lora")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("shivam14245/phi3-mini-sensitive-lora", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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97959d0 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 | {
"backend": "tokenizers",
"bos_token": "<s>",
"clean_up_tokenization_spaces": false,
"eos_token": "<|endoftext|>",
"is_local": true,
"legacy": false,
"local_files_only": false,
"model_max_length": 4096,
"pad_token": "<|endoftext|>",
"padding_side": "left",
"sp_model_kwargs": {},
"tokenizer_class": "TokenizersBackend",
"unk_token": "<unk>",
"use_default_system_prompt": false
}
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