Instructions to use nepp1d0/prot_bert_classification_finetuned_training_script_trial with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nepp1d0/prot_bert_classification_finetuned_training_script_trial with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="nepp1d0/prot_bert_classification_finetuned_training_script_trial")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("nepp1d0/prot_bert_classification_finetuned_training_script_trial") model = AutoModelForSequenceClassification.from_pretrained("nepp1d0/prot_bert_classification_finetuned_training_script_trial", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:eca57d7ae82e075f8e12974655b3b7aecc21538aaaabc4630fe795dc449f61a1
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size 1680275432
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