Text Classification
Transformers
PyTorch
Safetensors
English
bert
regression
text-embeddings-inference
Instructions to use morenolq/thext-cs-scibert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use morenolq/thext-cs-scibert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="morenolq/thext-cs-scibert")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("morenolq/thext-cs-scibert") model = AutoModelForSequenceClassification.from_pretrained("morenolq/thext-cs-scibert") - Notebooks
- Google Colab
- Kaggle
Moreno La Quatra commited on
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**General Information**
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This model is trained on journal publications of belonging to the domain: **
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This is an `allenai/scibert_scivocab_cased` model trained in the scientific domain. The model is trained with regression objective to estimate the relevance of a sentence according to the provided context (e.g., the abstract of the scientific paper).
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**General Information**
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This model is trained on journal publications of belonging to the domain: **Computer Science**.
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This is an `allenai/scibert_scivocab_cased` model trained in the scientific domain. The model is trained with regression objective to estimate the relevance of a sentence according to the provided context (e.g., the abstract of the scientific paper).
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