Instructions to use allenai/specter2_base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use allenai/specter2_base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="allenai/specter2_base")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("allenai/specter2_base") model = AutoModel.from_pretrained("allenai/specter2_base") - Inference
- Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#10 opened over 1 year ago
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SFconvertbot
Adding `safetensors` variant of this model
#9 opened over 1 year ago
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SFconvertbot
Adding `safetensors` variant of this model
#8 opened over 2 years ago
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SFconvertbot
Adding `safetensors` variant of this model
#7 opened over 2 years ago
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SFconvertbot
Adding `safetensors` variant of this model
#6 opened over 2 years ago
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SFconvertbot
Adding `safetensors` variant of this model
#5 opened almost 3 years ago
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SFconvertbot
Adding `safetensors` variant of this model
#4 opened almost 3 years ago
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SFconvertbot
How to generate one token after the other with Specter 2?
#3 opened almost 3 years ago
by
junoriosity
Is using SciBERT as a basis still a good idea?
👍 1
2
#2 opened about 3 years ago
by
cormak
Adding `safetensors` variant of this model
#1 opened about 3 years ago
by
SFconvertbot