Create README.md

README.md

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+# SciFive PMC Base
+
+## Introduction
+Paper: [SciFive: a text-to-text transformer model for biomedical literature](https://arxiv.org/abs/2106.03598)
+
+Authors: _Long N. Phan, James T. Anibal, Hieu Tran, Shaurya Chanana, Erol Bahadroglu, Alec Peltekian, Grégoire Altan-Bonnet_
+
+## How to use
+For more details, do check out [our Github repo](https://github.com/justinphan3110/SciFive). 
+```python
+from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
+​
+tokenizer = AutoTokenizer.from_pretrained("razent/SciFive-base-PMC")  
+model = AutoModelForSeq2SeqLM.from_pretrained("razent/SciFive-base-PMC")
+​
+sentence = "Identification of APC2 , a homologue of the adenomatous polyposis coli tumour suppressor ."
+text =  "ncbi_ner: " + sentence + " </s>"
+
+encoding = tokenizer.encode_plus(text, pad_to_max_length=True, return_tensors="pt")
+input_ids, attention_masks = encoding["input_ids"].to("cuda"), encoding["attention_mask"].to("cuda")
+
+outputs = model.generate(
+    input_ids=input_ids, attention_mask=attention_masks,
+    max_length=256,
+    early_stopping=True
+)
+
+for output in outputs:
+    line = tokenizer.decode(output, skip_special_tokens=True, clean_up_tokenization_spaces=True)
+    print(line)
+```