Instructions to use manelalab/chrono-bert-v1-20181231 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use manelalab/chrono-bert-v1-20181231 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="manelalab/chrono-bert-v1-20181231")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("manelalab/chrono-bert-v1-20181231") model = AutoModelForMaskedLM.from_pretrained("manelalab/chrono-bert-v1-20181231", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload folder using huggingface_hub
Browse files
README.md
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@@ -45,7 +45,7 @@ device = 'cuda:0'
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tokenizer = AutoTokenizer.from_pretrained("manelalab/chrono-bert-v1-19991231")
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model = AutoModel.from_pretrained("manelalab/chrono-bert-v1-19991231").to(device)
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text = "
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inputs = tokenizer(text, return_tensors="pt").to(device)
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outputs = model(**inputs)
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tokenizer = AutoTokenizer.from_pretrained("manelalab/chrono-bert-v1-19991231")
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model = AutoModel.from_pretrained("manelalab/chrono-bert-v1-19991231").to(device)
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text = "Obviously, the time continuum has been disrupted, creating a new temporal event sequence resulting in this alternate reality. -- Dr. Brown, Back to the Future Part II"
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inputs = tokenizer(text, return_tensors="pt").to(device)
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outputs = model(**inputs)
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