Instructions to use ghadeermobasher/BC4_Modified-scibert_scivocab_uncased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ghadeermobasher/BC4_Modified-scibert_scivocab_uncased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="ghadeermobasher/BC4_Modified-scibert_scivocab_uncased")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("ghadeermobasher/BC4_Modified-scibert_scivocab_uncased") model = AutoModelForTokenClassification.from_pretrained("ghadeermobasher/BC4_Modified-scibert_scivocab_uncased", device_map="auto") - Notebooks
- Google Colab
- Kaggle
# pip install -U transformers accelerate
# Load model directly
from transformers import AutoTokenizer, AutoModelForTokenClassification
tokenizer = AutoTokenizer.from_pretrained("ghadeermobasher/BC4_Modified-scibert_scivocab_uncased")
model = AutoModelForTokenClassification.from_pretrained("ghadeermobasher/BC4_Modified-scibert_scivocab_uncased", device_map="auto")Quick Links
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="ghadeermobasher/BC4_Modified-scibert_scivocab_uncased")