Instructions to use ZahidAhmad/best_model_bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ZahidAhmad/best_model_bert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ZahidAhmad/best_model_bert")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ZahidAhmad/best_model_bert") model = AutoModelForSequenceClassification.from_pretrained("ZahidAhmad/best_model_bert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload best_model.pt
#1
by ZahidAhmad - opened
- best_model.pt +3 -0
best_model.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:d02c822c89cb6cc5fff0b745939b34712533c15cbd57239845c143559bdc2fc0
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size 267891174
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