Text Classification
Transformers
PyTorch
TensorFlow
JAX
Safetensors
English
t5
text2text-generation
token-classification
question-answering
text-generation
Instructions to use razent/SciFive-base-Pubmed_PMC with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use razent/SciFive-base-Pubmed_PMC with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="razent/SciFive-base-Pubmed_PMC")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("razent/SciFive-base-Pubmed_PMC") model = AutoModelForSeq2SeqLM.from_pretrained("razent/SciFive-base-Pubmed_PMC", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Commit ·
791259d
1
Parent(s): ed6b53d
upload flax model
Browse files- flax_model.msgpack +3 -0
flax_model.msgpack
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version https://git-lfs.github.com/spec/v1
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oid sha256:f9057f257b3e232e5abf26f86da51afa9aacc416945d7def2ab128766e355060
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size 891625348
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