Instructions to use uhhlt/comp-seqlab-dslim-bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use uhhlt/comp-seqlab-dslim-bert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="uhhlt/comp-seqlab-dslim-bert")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("uhhlt/comp-seqlab-dslim-bert") model = AutoModelForTokenClassification.from_pretrained("uhhlt/comp-seqlab-dslim-bert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:88b4b4c07d7cb7321d73cb4c12355c22280834387d99c7da0d04dfd0d6cc125f
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size 435605316
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