Instructions to use silmi224/exp2-led-risalah_data_v5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use silmi224/exp2-led-risalah_data_v5 with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "summarization" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # 'pip install "transformers<5.0.0' from transformers import pipeline pipe = pipeline("summarization", model="silmi224/exp2-led-risalah_data_v5")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("silmi224/exp2-led-risalah_data_v5") model = AutoModelForSeq2SeqLM.from_pretrained("silmi224/exp2-led-risalah_data_v5", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 294 Bytes
1e4f7bc | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 | {
"bos_token_id": 0,
"decoder_start_token_id": 2,
"early_stopping": true,
"eos_token_id": 2,
"length_penalty": 2.0,
"max_length": 128,
"min_length": 40,
"no_repeat_ngram_size": 3,
"num_beams": 2,
"pad_token_id": 1,
"transformers_version": "4.41.2",
"use_cache": false
}
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