razent
/

SciFive-base-Pubmed

Text Classification

text2text-generation

token-classification

question-answering

text-generation

text-generation-inference

Inference Endpoints

Model card Files Files and versions Community

justinphan3110 commited on Nov 26, 2022

Commit

2c59b55

•

1 Parent(s): 7ecd3e2

Update README.md

Files changed (1) hide show

README.md +1 -1

README.md CHANGED Viewed

@@ -30,7 +30,7 @@ tokenizer = AutoTokenizer.from_pretrained("razent/SciFive-base-Pubmed")
 model = AutoModelForSeq2SeqLM.from_pretrained("razent/SciFive-base-Pubmed")
 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")

 model = AutoModelForSeq2SeqLM.from_pretrained("razent/SciFive-base-Pubmed")
 sentence = "Identification of APC2 , a homologue of the adenomatous polyposis coli tumour suppressor ."
+text = 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")