Instructions to use researchaccount/sa_sub3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use researchaccount/sa_sub3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="researchaccount/sa_sub3")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("researchaccount/sa_sub3") model = AutoModelForSequenceClassification.from_pretrained("researchaccount/sa_sub3") - Notebooks
- Google Colab
- Kaggle
Commit ·
dfd6bc8
1
Parent(s): ae6c7ca
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Browse files- MARBERT_SA_ASAS_fp32_sub3/config.json → config.json +0 -0
- MARBERT_SA_ASAS_fp32_sub3/pytorch_model.bin → pytorch_model.bin +0 -0
- MARBERT_SA_ASAS_fp32_sub3/special_tokens_map.json → special_tokens_map.json +0 -0
- MARBERT_SA_ASAS_fp32_sub3/tokenizer_config.json → tokenizer_config.json +0 -0
- MARBERT_SA_ASAS_fp32_sub3/training_args.bin → training_args.bin +0 -0
- MARBERT_SA_ASAS_fp32_sub3/vocab.txt → vocab.txt +0 -0
MARBERT_SA_ASAS_fp32_sub3/config.json → config.json
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MARBERT_SA_ASAS_fp32_sub3/pytorch_model.bin → pytorch_model.bin
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MARBERT_SA_ASAS_fp32_sub3/special_tokens_map.json → special_tokens_map.json
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MARBERT_SA_ASAS_fp32_sub3/tokenizer_config.json → tokenizer_config.json
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MARBERT_SA_ASAS_fp32_sub3/training_args.bin → training_args.bin
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MARBERT_SA_ASAS_fp32_sub3/vocab.txt → vocab.txt
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