Instructions to use Sefika/mas2_fs_tacred_random_3_3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sefika/mas2_fs_tacred_random_3_3 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Sefika/mas2_fs_tacred_random_3_3") model = AutoModelForSeq2SeqLM.from_pretrained("Sefika/mas2_fs_tacred_random_3_3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload T5ForConditionalGeneration
Browse files- config.json +1 -1
- model.safetensors +1 -1
config.json
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{
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"_name_or_path": "Sefika/
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"architectures": [
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"T5ForConditionalGeneration"
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],
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{
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"_name_or_path": "Sefika/mas2_fs_tacred_random_3_2",
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"architectures": [
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"T5ForConditionalGeneration"
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size 990345064
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version https://git-lfs.github.com/spec/v1
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oid sha256:d2f9b80ec4740a68e68c0ac44e3aabba4c806d7e94fc23e6f7226e83e36e9168
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size 990345064
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