Text Generation
PEFT
Safetensors
English
lora
adapter
knowledge-graph
information-extraction
rdf
fine-tuned
trustworthy-ai
hallucination-detection
conversational
Instructions to use BSVGK/phi35-mini-lora-text2kg-adapter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use BSVGK/phi35-mini-lora-text2kg-adapter with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("microsoft/Phi-3.5-mini-instruct") model = PeftModel.from_pretrained(base_model, "BSVGK/phi35-mini-lora-text2kg-adapter") - Notebooks
- Google Colab
- Kaggle
File size: 3,364 Bytes
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"add_bos_token": false,
"add_eos_token": false,
"add_prefix_space": null,
"added_tokens_decoder": {
"0": {
"content": "<unk>",
"lstrip": false,
"normalized": false,
"rstrip": false,
"single_word": false,
"special": true
},
"1": {
"content": "<s>",
"lstrip": false,
"normalized": false,
"rstrip": false,
"single_word": false,
"special": true
},
"2": {
"content": "</s>",
"lstrip": false,
"normalized": false,
"rstrip": true,
"single_word": false,
"special": false
},
"32000": {
"content": "<|endoftext|>",
"lstrip": false,
"normalized": false,
"rstrip": false,
"single_word": false,
"special": true
},
"32001": {
"content": "<|assistant|>",
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},
"32002": {
"content": "<|placeholder1|>",
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"special": true
},
"32003": {
"content": "<|placeholder2|>",
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},
"32005": {
"content": "<|placeholder4|>",
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},
"32006": {
"content": "<|system|>",
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"rstrip": true,
"single_word": false,
"special": true
},
"32007": {
"content": "<|end|>",
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"rstrip": true,
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"special": true
},
"32008": {
"content": "<|placeholder5|>",
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},
"32009": {
"content": "<|placeholder6|>",
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},
"32010": {
"content": "<|user|>",
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"normalized": false,
"rstrip": true,
"single_word": false,
"special": true
}
},
"bos_token": "<s>",
"chat_template": "{% for message in messages %}{% if message['role'] == 'system' and message['content'] %}{{'<|system|>\n' + message['content'] + '<|end|>\n'}}{% elif message['role'] == 'user' %}{{'<|user|>\n' + message['content'] + '<|end|>\n'}}{% elif message['role'] == 'assistant' %}{{'<|assistant|>\n' + message['content'] + '<|end|>\n'}}{% endif %}{% endfor %}{% if add_generation_prompt %}{{ '<|assistant|>\n' }}{% else %}{{ eos_token }}{% endif %}",
"clean_up_tokenization_spaces": false,
"eos_token": "<|endoftext|>",
"legacy": false,
"model_max_length": 131072,
"pad_token": "<|endoftext|>",
"padding_side": "left",
"sp_model_kwargs": {},
"tokenizer_class": "LlamaTokenizer",
"unk_token": "<unk>",
"use_default_system_prompt": false
}
|