Instructions to use mgbam/bert_large-imdb-finetuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mgbam/bert_large-imdb-finetuned with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="mgbam/bert_large-imdb-finetuned")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("mgbam/bert_large-imdb-finetuned") model = AutoModelForSequenceClassification.from_pretrained("mgbam/bert_large-imdb-finetuned", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from mgbam/bert_large-imdb-finetuned: direct link, hf CLI and curl.
- Browser
- Download file 438 MB
-
https://huggingface.co/mgbam/bert_large-imdb-finetuned/resolve/main/model.safetensors
- Command line
-
hf download hf://mgbam/bert_large-imdb-finetuned/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/mgbam/bert_large-imdb-finetuned/resolve/main/model.safetensors
438 MB
- Xet hash:
- fc01a0437a0ac429aa023964de732422e7c8f0ae0b374b595393c7b97af215b2
- Size of remote file:
- 438 MB
- SHA256:
- 5931054b33c1ab54970cb09099dab1127f53c5d73b1e99d7fad93059a4145c73
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